Relevant bibliographies by topics / Mixed models design

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mixed models design'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Mixed models design"

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Zhao, Y., J. Staudenmayer, B. A. Coull, and M. P. Wand. "General Design Bayesian Generalized Linear Mixed Models." Statistical Science 21, no. 1 (February 2006): 35–51. http://dx.doi.org/10.1214/088342306000000015.

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Santos, Aladir Horacio, Eduardo Bearzoti, Daniel Furtado Ferreira, and João Luís da Silva Filho. "Simulation of mixed models in augmented block design." Scientia Agricola 59, no. 3 (September 2002): 483–89. http://dx.doi.org/10.1590/s0103-90162002000300012.

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The augmented block design is widely used in breeding programs, with non-replicated treatments generally being selection units, and replicated treatments being standard cultivars. Originally, an intrablock analysis (fixed model) was proposed. Although non-replicated treatments and/or blocks can be considered of random nature, mixed linear models could be used instead. This work evaluated such an approach, using computer simulation. Populations consisted of sets of randomly generated inbred lines. Molecular marker data were also simulated to allow the estimation of the genetic covariance matrix. Different conditions were considered, varying heritability and the coefficient b of Smith of soil heterogeneity. For each condition 100 simulations were performed, considering four linear models, varying respectively the nature of the effects of blocks and non-replicated treatments (fixed - F, or random - R): FF, FR, RF and RR. In relation to FF, the mixed models were more efficient under low to intermediate heritability and high b. Mixed models could improve inference in breeding programs using the augmented block design and the choice of the model should rely on the kind of selection. If this is truncated, the RF model should be preferred; if it is not, then the RR model would be more suitable.
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Robinson, Timothy J., Shaun S. Wulff, Douglas C. Montgomery, and Andre I. Khuri. "Robust Parameter Design Using Generalized Linear Mixed Models." Journal of Quality Technology 38, no. 1 (January 2006): 65–75. http://dx.doi.org/10.1080/00224065.2006.11918585.

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Evangelou, Evangelos, and Zhengyuan Zhu. "Optimal predictive design augmentation for spatial generalised linear mixed models." Journal of Statistical Planning and Inference 142, no. 12 (December 2012): 3242–53. http://dx.doi.org/10.1016/j.jspi.2012.05.008.

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Fügenschuh, Armin, and Alexander Martin. "Mixed-integer models for topology optimization in sheet metal design." PAMM 7, no. 1 (December 2007): 2060049–50. http://dx.doi.org/10.1002/pamm.200700566.

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Staudenmayer, J., E. E. Lake, and M. P. Wand. "Robustness for general design mixed models using the t-distribution." Statistical Modelling: An International Journal 9, no. 3 (October 2009): 235–55. http://dx.doi.org/10.1177/1471082x0800900304.

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Garroppo, Rosario G., Stefano Giordano, Gianfranco Nencioni, and Maria Grazia Scutellà. "Mixed Integer Non-Linear Programming models for Green Network Design." Computers & Operations Research 40, no. 1 (January 2013): 273–81. http://dx.doi.org/10.1016/j.cor.2012.06.014.

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Ryan, Elizabeth G., Christopher C. Drovandi, and Anthony N. Pettitt. "Simulation-based fully Bayesian experimental design for mixed effects models." Computational Statistics & Data Analysis 92 (December 2015): 26–39. http://dx.doi.org/10.1016/j.csda.2015.06.007.

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Nyberg, Joakim, Richard Höglund, Martin Bergstrand, Mats O. Karlsson, and Andrew C. Hooker. "Serial correlation in optimal design for nonlinear mixed effects models." Journal of Pharmacokinetics and Pharmacodynamics 39, no. 3 (March 14, 2012): 239–49. http://dx.doi.org/10.1007/s10928-012-9245-5.

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Nyberg, Joakim, Sebastian Ueckert, Eric A. Strömberg, Stefanie Hennig, Mats O. Karlsson, and Andrew C. Hooker. "PopED: An extended, parallelized, nonlinear mixed effects models optimal design tool." Computer Methods and Programs in Biomedicine 108, no. 2 (November 2012): 789–805. http://dx.doi.org/10.1016/j.cmpb.2012.05.005.

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Dissertations / Theses on the topic "Mixed models design"

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Schmelter, Thomas. "Experimental design for mixed models with application to population pharmacokinetic studies." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=98529650X.

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Yang, Xiao. "Optimal Design of Single Factor cDNA Microarray experiments and Mixed Models for Gene Expression Data." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/26379.

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Microarray experiments are used to perform gene expression profiling on a large scale. E- and A-optimality of mixed designs was established for experiments with up to 26 different varieties and with the restriction that the number of arrays available is equal to the number of varieties. Because the IBD setting only allows for a single blocking factor (arrays), the search for optimal designs was extended to the Row-Column Design (RCD) setting with blocking factors dye (row) and array (column). Relative efficiencies of these designs were further compared under analysis of variance (ANOVA) models. We also compared the performance of classification analysis for the interwoven loop and the replicated reference designs under four scenarios. The replicated reference design was favored when gene-specific sample variation was large, but the interwoven loop design was preferred for large variation among biological replicates. We applied mixed model methodology to detection and estimation of gene differential expression. For identification of differential gene expression, we favor contrasts which include both variety main effects and variety by gene interactions. In terms of t-statistics for these contrasts, we examined the equivalence between the one- and two-step analyses under both fixed and mixed effects models. We analytically established conditions for equivalence under fixed and mixed models. We investigated the difference of approximation with the two-step analysis in situations where equivalence does not hold. The significant difference between the one- and two-step mixed effects model was further illustrated through Monte Carlo simulation and three case studies. We implemented the one-step analysis for mixed models with the ASREML software.
Ph. D.
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Nyberg, Joakim. "Practical Optimal Experimental Design in Drug Development and Drug Treatment using Nonlinear Mixed Effects Models." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-160481.

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The cost of releasing a new drug on the market has increased rapidly in the last decade. The reasons for this increase vary with the drug, but the need to make correct decisions earlier in the drug development process and to maximize the information gained throughout the process is evident. Optimal experimental design (OD) describes the procedure of maximizing relevant information in drug development and drug treatment processes. While various optimization criteria can be considered in OD, the most common is to optimize the unknown model parameters for an upcoming study. To date, OD has mainly been used to optimize the independent variables, e.g. sample times, but it can be used for any design variable in a study. This thesis addresses the OD of multiple continuous or discrete design variables for nonlinear mixed effects models. The methodology for optimizing and the optimization of different types of models with either continuous or discrete data are presented and the benefits of OD for such models are shown. A software tool for optimizing these models in parallel is developed and three OD examples are demonstrated: 1) optimization of an intravenous glucose tolerance test resulting in a reduction in the number of samples by a third, 2) optimization of drug compound screening experiments resulting in the estimation of nonlinear kinetics and 3) an individual dose-finding study for the treatment of children with ciclosporin before kidney transplantation resulting in a reduction in the number of blood samples to ~27% of the original number and an 83% reduction in the study duration. This thesis uses examples and methodology to show that studies in drug development and drug treatment can be optimized using nonlinear mixed effects OD. This provides a tool than can lower the cost and increase the overall efficiency of drug development and drug treatment.
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KANKIPATI, SUNDER RAJAN. "MACRO MODEL GENERATION FOR SYNTHESIS OF ANALOG AND MIXED SIGNAL CIRCUITS." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1077297705.

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Ernest, II Charles. "Benefits of Non-Linear Mixed Effect Modeling and Optimal Design : Pre-Clinical and Clinical Study Applications." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209247.

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Despite the growing promise of pharmaceutical research, inferior experimentation or interpretation of data can inhibit breakthrough molecules from finding their way out of research institutions and reaching patients. This thesis provides evidence that better characterization of pre-clinical and clinical data can be accomplished using non-linear mixed effect modeling (NLMEM) and more effective experiments can be conducted using optimal design (OD).  To demonstrate applicability of NLMEM and OD in pre-clinical applications, in vitro ligand binding studies were examined. NLMEMs were used to evaluate precision and accuracy of ligand binding parameter estimation from different ligand binding experiments using sequential (NLR) and simultaneous non-linear regression (SNLR). SNLR provided superior resolution of parameter estimation in both precision and accuracy compared to NLR.  OD of these ligand binding experiments for one and two binding site systems including commonly encountered experimental errors was performed.  OD was employed using D- and ED-optimality.  OD demonstrated that reducing the number of samples, measurement times, and separate ligand concentrations provides robust parameter estimation and more efficient and cost effective experimentation. To demonstrate applicability of NLMEM and OD in clinical applications, a phase advanced sleep study formed the basis of this investigation. A mixed-effect Markov-chain model based on transition probabilities as multinomial logistic functions using polysomnography data in phase advanced subjects was developed and compared the sleep architecture between this population and insomniac patients. The NLMEM was sufficiently robust for describing the data characteristics in phase advanced subjects, and in contrast to aggregated clinical endpoints, which provide an overall assessment of sleep behavior over the night, described the dynamic behavior of the sleep process. OD of a dichotomous, non-homogeneous, Markov-chain phase advanced sleep NLMEM was performed using D-optimality by computing the Fisher Information Matrix for each Markov component.  The D-optimal designs improved the precision of parameter estimates leading to more efficient designs by optimizing the doses and the number of subjects in each dose group.  This thesis provides examples how studies in drug development can be optimized using NLMEM and OD. This provides a tool than can lower the cost and increase the overall efficiency of drug development.

My name should be listed as "Charles Steven Ernest II" on cover.

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Dlangamandla, Nkosikho. "Design of integrated processes for a second generation biorefinery using mixed agricultural waste." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2843.

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Thesis (Doctor of Engineering in Chemical Engineering)--Cape Peninsula University of Technology, 2018.
Lignocellulosic biomass (agro-waste) has been recommended as the most promising feedstock for the production of bioalcohols, in the biofuel industry. Furthermore, agro-waste is well-known as the most abundant organic matter in the agricultural and forestry product processing industry. However, the challenge with utilizing agro-waste as a feedstock is its highly recalcitrant structure, which limits hydrolysis to convert the holocelluloses into fermentable sugars. Conventional pre-treatment methods such as dilute acid, alkaline, thermal, hot water and enzymatic, have been used in previous studies. The challenge with these conventional methods is the generation of residual toxicants during the pretreatment process, which inhibits a high bioalcohol yield, by reducing the microbial populations’ (fermenter) ability to be metabolically proficient during fermentation. Numerous studies have been developed to improve the engineered strains, which have shown to have an ability to reduce the inhibition and toxicity of the bioalcohols produced or by-products produced during pre-treatment, while enhancing the bioalcohol production. In the present study (chapter 5), evaluation of common conventional methods for the pretreatment of the mixed agro-waste, i.e. (˃45µm to <100µm) constituted by Citrus sinensis, Malus domestica peels, corn cobs from Zea mays and Quercus robur (oak) yard waste without a pre-rinsing step at a ratio of 1:1 at 25% (w/w) for each waste material, was undertaken, focusing on hot water pre treatment followed by dilute acid (H2SO4) pre-treatment. To further pretreat the mixed agro-waste residue, cellulases were used to further hydrolyse the pre-treated agro-waste in a single pot (batch) multi-reaction process. The TRS concentration of 0.12, 1.43 and 3.22 g/L was achieved with hot water, dilute acid and cellulases hydrolysis as sequential pretreatment steps, respectively, in a single pot multi-reaction system. Furthermore, a commercial strain was used to ascertain low (C1 to C3) and high carbon content (C4+) bioalcohol production under aerobic conditions. Multiple bioproducts were obtained within 48 to 72 h, including bioethanol and 1-Butanol, 3-methyl, which were major products for this study. However, undesirable bio-compounds such as phenolics, were detected post fermentation. Since multiple process units characterised by chemical usage and high energy intensivity have been utilized to overcome delignification and cellulolysis, a sustainable, environmental benign pretreatment process was proposed using N. mirabilis “monkey cup” fluids (extracts) to also reduce fermenter inhibitors from the delignification of mixed agrowaste; a process with minimal thermo physical chemical inputs for which a single pot multi-reaction system strategy was used. Nepenthes mirabilis extracts shown to have ligninolytic, cellulolytic and xylanolytic activities, were used as an enzyme cocktail to pretreat mixed agro-waste, subsequent to the furtherance of TRS production from the agro-waste, by further using cellulase for further hydrolysis. N. mirabilis pod extracts were determined to contained carboxylesterases (529.41±30.50 U/L), β-glucosidases (251.94±11.48 U/L) and xylanases (36.09±18.04 U/L), constituting an enzymatic cocktail with a significant potential for the reduction in total residual phenolic compounds (TRPCs). Furthermore, the results indicated that maximum concentration of TRS obtainable was 310±5.19 mg/L within 168 h, while the TRPCs were reduced from 6.25±0.18 to 4.26 ±0.09 mg/L, which was lower than that observed when conventional methods were used. Overall N. mirabilis extracts were demonstrated to have an ability to support biocatalytic processes for the conversion of agro-waste to produce fermentable TRS in a single unit facilitating multiple reactions with minimised interference with cellulase hydrolysis. Therefore, the digestive enzymes in N. mirabilis pods can be used in an integrated system for a second generation biorefinery.
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Rasch, Dieter, Thomas Rusch, Marie Simeckova, Klaus D. Kubinger, Karl Moder, and Petr Simecek. "Tests of additivity in mixed and fixed effect two-way ANOVA models with single sub-class numbers." Springer, 2009. http://dx.doi.org/10.1070/s00362-009-0254-4.

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In variety testing as well as in psychological assessment, the situation occurs that in a two-way ANOVA-type model with only one replication per cell, analysis is done under the assumption of no interaction between the two factors. Tests for this situation are known only for fixed factors and normally distributed outcomes. In the following we will present five additivity tests and apply them to fixed and mixed models and to quantitative as well as to Bernoulli distributed data. We consider their performance via simulation studies with respect to the type-I-risk and power. Furthermore, two new approaches will be presented, one being a modification of Tukey's test and the other being a new experimental design to test for interactions.
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Strömberg, Eric. "Applied Adaptive Optimal Design and Novel Optimization Algorithms for Practical Use." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-308452.

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The costs of developing new pharmaceuticals have increased dramatically during the past decades. Contributing to these increased expenses are the increasingly extensive and more complex clinical trials required to generate sufficient evidence regarding the safety and efficacy of the drugs.  It is therefore of great importance to improve the effectiveness of the clinical phases by increasing the information gained throughout the process so the correct decision may be made as early as possible.   Optimal Design (OD) methodology using the Fisher Information Matrix (FIM) based on Nonlinear Mixed Effect Models (NLMEM) has been proven to serve as a useful tool for making more informed decisions throughout the clinical investigation. The calculation of the FIM for NLMEM does however lack an analytic solution and is commonly approximated by linearization of the NLMEM. Furthermore, two structural assumptions of the FIM is available; a full FIM and a block-diagonal FIM which assumes that the fixed effects are independent of the random effects in the NLMEM. Once the FIM has been derived, it can be transformed into a scalar optimality criterion for comparing designs. The optimality criterion may be considered local, if the criterion is based on singe point values of the parameters or global (robust), where the criterion is formed for a prior distribution of the parameters.  Regardless of design criterion, FIM approximation or structural assumption, the design will be based on the prior information regarding the model and parameters, and is thus sensitive to misspecification in the design stage.  Model based adaptive optimal design (MBAOD) has however been shown to be less sensitive to misspecification in the design stage.   The aim of this thesis is to further the understanding and practicality when performing standard and MBAOD. This is to be achieved by: (i) investigating how two common FIM approximations and the structural assumptions may affect the optimized design, (ii) reducing runtimes complex design optimization by implementing a low level parallelization of the FIM calculation, (iii) further develop and demonstrate a framework for performing MBAOD, (vi) and investigate the potential advantages of using a global optimality criterion in the already robust MBAOD.
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Berhe, Leakemariam. "Statistical modeling and design in forestry : The case of single tree models." Doctoral thesis, Umeå : Umeå University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1663.

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Pell, David Andrew. "Statistical models for estimating the intake of nutrients and foods from complex survey data." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/286334.

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Background: The consequences of poor nutrition are well known and of wide concern. Governments and public health agencies utilise food and diet surveillance data to make decisions that lead to improvements in nutrition. These surveys often utilise complex sample designs for efficient data collection. There are several challenges in the statistical analysis of dietary intake data collected using complex survey designs, which have not been fully addressed by current methods. Firstly, the shape of the distribution of intake can be highly skewed due to the presence of outlier observations and a large proportion of zero observations arising from the inability of the food diary to capture consumption within the period of observation. Secondly, dietary data is subject to variability arising from day-to-day individual variation in food consumption and measurement error, to be accounted for in the estimation procedure for correct inferences. Thirdly, the complex sample design needs to be incorporated into the estimation procedure to allow extrapolation of results into the target population. This thesis aims to develop novel statistical methods to address these challenges, applied to the analysis of iron intake data from the UK National Diet and Nutrition Survey Rolling Programme (NDNS RP) and UK national prescription data of iron deficiency medication. Methods: 1) To assess the nutritional status of particular population groups a two-part model with a generalised gamma (GG) distribution was developed for intakes that show high frequencies of zero observations. The two-part model accommodated the sources of data variation of dietary intake with a random intercept in each component, which could be correlated to allow a correlation between the probability of consuming and the amount consumed. 2) To identify population groups at risk of low nutrient intakes, a linear quantile mixed-effects model was developed to model quantiles of the distribution of intake as a function of explanatory variables. The proposed approach was illustrated by comparing the quantiles of iron intake with Lower Reference Nutrient Intakes (LRNI) recommendations using NDNS RP. This thesis extended the estimation procedures of both the two-part model with GG distribution and the linear quantile mixed-effects model to incorporate the complex sample design in three steps: the likelihood function was multiplied by the sample weightings; bootstrap methods for the estimation of the variance and finally, the variance estimation of the model parameters was stratified by the survey strata. 3) To evaluate the allocation of resources to alleviate nutritional deficiencies, a quantile linear mixed-effects model was used to analyse the distribution of expenditure on iron deficiency medication across health boards in the UK. Expenditure is likely to depend on the iron status of the region; therefore, for a fair comparison among health boards, iron status was estimated using the method developed in objective 2) and used in the specification of the median amount spent. Each health board is formed by a set of general practices (GPs), therefore, a random intercept was used to induce correlation between expenditure from two GPs from the same health board. Finally, the approaches in objectives 1) and 2) were compared with the traditional approach based on weighted linear regression modelling used in the NDNS RP reports. All analyses were implemented using SAS and R. Results: The two-part model with GG distribution fitted to amount of iron consumed from selected episodically food, showed that females tended to have greater odds of consuming iron from foods but consumed smaller amounts. As age groups increased, consumption tended to increase relative to the reference group though odds of consumption varied. Iron consumption also appeared to be dependent on National Statistics Socio-Economic Classification (NSSEC) group with lower social groups consuming less, in general. The quantiles of iron intake estimated using the linear quantile mixed-effects model showed that more than 25% of females aged 11-50y are below the LRNI, and that 11-18y girls are the group at highest of deficiency in the UK. Predictions of spending on iron medication in the UK based on the linear quantile mixed-effects model showed areas of higher iron intake resulted in lower spending on treating iron deficiency. In a geographical display of expenditure, Northern Ireland featured the lowest amount spent. Comparing the results from the methods proposed here showed that using the traditional approach based on weighted regression analysis could result in spurious associations. Discussion: This thesis developed novel approaches to the analysis of dietary complex survey data to address three important objectives of diet surveillance, namely the mean estimation of food intake by population groups, identification of groups at high risk of nutrient deficiency and allocation of resources to alleviate nutrient deficiencies. The methods provided models of good fit to dietary data, accounted for the sources of data variability and extended the estimation procedures to incorporate the complex sample survey design. The use of a GG distribution for modelling intake is an important improvement over existing methods, as it includes many distributions with different shapes and its domain takes non-negative values. The two-part model accommodated the sources of data variation of dietary intake with a random intercept in each component, which could be correlated to allow a correlation between the probability of consuming and the amount consumed. This also improves existing approaches that assume a zero correlation. The linear quantile mixed-effects model utilises the asymmetric Laplace distribution which can also accommodate many different distributional shapes, and likelihood-based estimation is robust to model misspecification. This method is an important improvement over existing methods used in nutritional research as it explicitly models the quantiles in terms of explanatory variables using a novel quantile regression model with random effects. The application of these models to UK national data confirmed the association of poorer diets and lower social class, identified the group of 11-50y females as a group at high risk of iron deficiency, and highlighted Northern Ireland as the region with the lowest expenditure on iron prescriptions.
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Books on the topic "Mixed models design"

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Model engineering in mixed-signal circuit design: A guide to generating accurate behavioral models in VHDL-AMS. Boston: Kluwer Academic Publishers, 2001.

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Poduri S.R.S. Rao. Variance Components Estimation: Mixed Models, Methodologies and Applications (Monographs on Statistics & Applied Probability). London, UK: Chapman & Hall/CRC, 1997.

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Mixed analog-digital VLSI devices and technology. Singapore: World Scientific, 2002.

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Mixed analog/digital VLSI devices and technology. New York: McGraw-Hill, 1994.

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Tsividis, Yannis. Mixed analog-digital VLSI devices and technology: An introduction. New York: McGraw-Hill, 1996.

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M, Borror Connie, and Montgomery Douglas C, eds. Design and analysis of gauge R&R studies: Making decisions with confidence intervals in random and mixed ANOVA models. Philadelphia: Society for Industrial Applied Mathematics, 2005.

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Miralles, Enric. Enric Miralles: Mixed talks. London: Academy Editions, 1995.

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Rekiek, Brahim. Assembly line design: The balancing of mixed-model hybrid assembly lines with genetic algorithms. London: Springer, 2006.

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Tango, Toshiro. Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315152097.

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Galwey, N. W. Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance. Wiley, 2014.

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Book chapters on the topic "Mixed models design"

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Dubois, Emmanuel, Guillaume Gauffre, Cédric Bach, and Pascal Salembier. "Participatory Design Meets Mixed Reality Design Models." In Computer-Aided Design of User Interfaces V, 71–84. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5820-2_6.

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Crippen, Gordon M. "Deducing Objective Site Models by Mixed Integer Programming." In Rational Drug Design, 115–26. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1480-9_10.

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Design-Based Indirect Estimation." In A Course on Small Area Estimation and Mixed Models, 41–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_3.

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Morales, Domingo, María Dolores Esteban, Agustín Pérez, and Tomáš Hobza. "Design-Based Direct Estimation." In A Course on Small Area Estimation and Mixed Models, 13–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63757-6_2.

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Weber, Jürgen, Andreas Lemke, Andreas Lehmler, Mario Anton, and Sorin A. Huss. "Mixed-Level Modeling Using Configurable MOS Transistor Models." In Embedded Systems Specification and Design Languages, 137–52. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8297-9_10.

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Hansert, Jonas, Mathias Trefzger, and Thomas Schlegel. "Interactive AR Models in Participation Processes." In Virtual, Augmented and Mixed Reality. Design and Interaction, 50–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49695-1_4.

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Jiang, Hongyan, and Rongxian Yue. "Modified Robust Design Criteria for Poisson Mixed Models." In Contemporary Experimental Design, Multivariate Analysis and Data Mining, 145–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46161-4_9.

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Grecki, Mariusz, Grzegorz Jabłoński, Marek Turowski, and Andrzej Napieralski. "Teaching Power Electronics with Two-Dimensional Semiconductor Devices Models." In Mixed Design of Integrated Circuits and Systems, 215–20. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5651-0_33.

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Koval, Vladimir A., Mykola B. Blyzniuk, and Irena Y. Kazymyra. "Simplified Models of IC’S for the Acceleration of Circuit Design." In Mixed Design of Integrated Circuits and Systems, 149–55. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5651-0_23.

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Moreno, Juan Manuel, Jordi Madrenas, Spartacus Gomáriz, and Joan Cabestany. "Mixed A/D VLSI Architecture for the Emulation of Neuro-Fuzzy Models." In Mixed Design of Integrated Circuits and Systems, 103–7. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5651-0_16.

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Conference papers on the topic "Mixed models design"

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Ya, Wu, Ke Shiqiu, Yang Shuzi, Xu Shanxiang, Li Weiguo, and Jiang Qiang. "Mixed Time Series Models for Time-Varying Metal Cutting Process." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0307.

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Abstract The concept of time-varying metal cutting chatter is developed in this paper and the AR and SETAR models based on the segmented time series are introduced to describe the time-variability, which is applied in analyzing the chatter in a type Mx-4 lathe. The emphasis of this work is placed on four aspects: the AR spectrum, the chatter modal damping ratio, the eigenvalues of a time-varying system and the limit cycle for a steady chatter. It is pointed out that, for time-varying chatter, its time interval is quite short compared with ordinary chatter and it will wither away owing to the time-varying parameters of the system. It is also shown that the machine cutting system under steady chatter is still stable and its damping is not equal to zero. The results can well explain the special phenomenon of chatter in Mx-4 lathe and is helpful to the study of time-varying metal cutting chatter.
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Huang, Ling, Jinhong Zhong, Zhiwei Ni, and Shanlin Yang. "Mixed Backlogging and Outsourcing Models with Nondecreasing Inventory Capacity." In Sixth International Conference on Intelligent Systems Design and Applications]. IEEE, 2006. http://dx.doi.org/10.1109/isda.2006.196.

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"Compact models- the heart of mixed-signal design flow." In Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006. IEEE, 2006. http://dx.doi.org/10.1109/mixdes.2006.1706547.

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Lim, Byong Chan, Jaeha Kim, and Mark A. Horowitz. "An efficient test vector generation for checking analog/mixed-signal functional models." In the 47th Design Automation Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1837274.1837468.

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Raszkowski, Tomasz, Agnieszka Samson, Tomasz Torzewicz, Piotr Zajac, Marcin Janicki, Mariusz Zubert, and Andrzej Napieralski. "Comparative analysis of compact thermal models generated from measured thermal responses and detailed thermal models." In 2017 MIXDES - 24th International Conference "Mixed Design of Integrated Circuits and Systems". IEEE, 2017. http://dx.doi.org/10.23919/mixdes.2017.8005230.

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Tomaszewski, Daniel, Jolanta Malesinska, and Grzegorz Gluszko. "Simple methods of threshold voltage parameter extraction for MOSFET models." In 2015 MIXDES - 22nd International Conference "Mixed Design of Integrated Circuits & Systems". IEEE, 2015. http://dx.doi.org/10.1109/mixdes.2015.7208514.

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Quaggiotto, Marco. "DESIGN AND COMPUTATIONAL THINKING – MIXED STRATEGIES AND COGNITIVE MODELS FOR COMMUNICATION DESIGN EDUCATION." In 13th annual International Conference of Education, Research and Innovation. IATED, 2020. http://dx.doi.org/10.21125/iceri.2020.1503.

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Prodanov, William, Maurizio Valle, Roman Buzas, and Hubert Pierscinski. "Behavioral models of basic mixed-mode circuits: practical issues and application." In 2007 European Conference on Circuit Theory and Design (ECCTD 2007). IEEE, 2007. http://dx.doi.org/10.1109/ecctd.2007.4529731.

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Stefanskyi, Andrii, Lukasz Starzak, and Andrzej Napieralski. "Review of commercial SiC MOSFET models: Topologies and equations." In 2017 MIXDES - 24th International Conference "Mixed Design of Integrated Circuits and Systems". IEEE, 2017. http://dx.doi.org/10.23919/mixdes.2017.8005259.

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Stefanskyi, Andrii, Lukasz Starzak, and Andrzej Napieralski. "Review of commercial SiC MOSFET models: Validity and accuracy." In 2017 MIXDES - 24th International Conference "Mixed Design of Integrated Circuits and Systems". IEEE, 2017. http://dx.doi.org/10.23919/mixdes.2017.8005260.

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Reports on the topic "Mixed models design"

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Berzofsky, Marcus E., Andrew Moore, G. Lance Couzens, Lynn Langton, and Chris Krebs. Potential Survey Error Due to a Panel Design: A Review and Evaluation of the National Crime Victimization Survey. RTI Press, July 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0039.2007.

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We use a total survey error approach to examine and make recommendations on how to adjust for non-sampling error in longitudinal, mixed-mode surveys. Using data from the National Crime Victimization Survey (NCVS), we examine three major sources of non-sampling error: telescoping, mode effects, and fatigue. We present an assessment of each source of error from a total survey error perspective and propose alternative adjustments to adjust better for this error. Findings suggest that telescoping and fatigue are likely sources of error in the NCVS, but the use of mixed-modes is not. Furthermore, both telescoping and fatigue are present in longitudinal surveys and accounting for one but not the other results in estimates that under- or overestimate the measures of interest—in this case, the rate of crime in the United States.
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Wiecha, Jean L., and Mary K. Muth. Agreements Between Public Health Organizations and Food and Beverage Companies: Approaches to Improving Evaluation. RTI Press, January 2021. http://dx.doi.org/10.3768/rtipress.2021.op.0067.2101.

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Efforts in the United States and abroad to address the chronic disease epidemic have led to the emergence of voluntary industry agreements as a substitute for regulatory approaches to improve the healthfulness of foods and beverages. Because of the lack of access to data and limited budgets, evaluations of these agreements have often been limited to process evaluation with less focus on outcomes and impact. Increasing scientific scope and rigor in evaluating voluntary food and beverage industry agreements would improve potential public health benefits and understanding of the effects of these agreements. We describe how evaluators can provide formative, process, and outcome assessment and discuss challenges and opportunities for impact assessment. We explain how logic models, industry profiles, quasi-experimental designs, mixed-methods approaches, and third-party data can improve the effectiveness of agreement design and evaluation. These methods could result in more comprehensive and rigorous evaluation of voluntary industry agreements, thus providing data to bolster the public health impacts of future agreements. However, improved access to data and larger evaluation budgets will be needed to support improvements in evaluation.
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Harter, Rachel M., Joseph P. McMichael, Derick S. Brown, Ashley Amaya, Trent D. Buskirk, and David Malarek. Telephone Appends for Address-Based Samples— An Introduction. RTI Press, February 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0050.1802.

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Surveys with samples selected from an address frame derived from US Postal Service sources are often referred to as address-based sampling (ABS) surveys. For an ABS survey that is primarily conducted by mail, web, or face-to-face, sometimes it is helpful to have a telephone number corresponding to the sample addresses for setting appointments or conducting nonresponse follow-up prompts. The usefulness of a telephone contact mode in a mixed mode ABS design depends on both the percentage of addresses for which telephone numbers can be appended (append rate or match rate) and the accuracy of the telephone numbers associated with addresses. Before planning a telephone contact as part of a mixed-mode study, the designer should know the likely effectiveness of the approach. This paper focuses primarily on append rate information, with a discussion of accuracy rates. For a single ABS frame, telephone match rates vary by geography, address type, match vendor, and by landline vs. cell telephone number. Using very large samples of addresses from a total US ABS frame, we estimated state and national telephone append rates from Marketing Systems Group's sources. The append rates are summarized here and interactively at the website http://abs.rti.org/atlas/.
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Cusanelli, Dominic S., Scott A. Carpenter, and Anne M. Powers. Axial Waterjet (AxWJ) Model 5662 and Mixed-Flow Waterjet (MxWJ) Model 5662-1: Comparisons of Resistance and Model-Scale Powering with Propulsion Nozzle Designs. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada476519.

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Niebler, Rebecca. Abfallwirtschaftliche Geschäftsmodelle für Textilien in der Circular Economy. Sonderforschungsgruppe Institutionenanalyse, September 2020. http://dx.doi.org/10.46850/sofia.9783941627833.

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This master thesis explores the challenges for waste management business models in the field of textiles regarding the requirements of the circular economy, as well as improvement potentials in the current framework conditions. It is concerned with the research question: "Is it advisable to change the frame-work conditions at meso or macro level, with regard to business models for waste management companies in the textile sector that are oriented towards the requirements of the circular economy, and - if so - in what way?” The approach of the study is based on the delta analysis of the e Society for Institutional Analysis at the Darmstadt University of Applied Sciences. It compares the target state of the normative requirements with the actual state of the textile and waste management framework conditions and attempts to identify the gaps (the delta). Based on the delta, it develops approaches that are intended to help reduce the gaps. The thesis develops three business models for the target year 2025 in different areas: an exchange platform for sorters, recyclers and designers, an automatic sorting plant and a plant for fibre-to-fibre recycling of mixed materials. It is becoming clear that these business models cannot meet the target requirements for the circular economy. The analysis identifies the remaining gaps in the framework conditions as the main problem. For example, insufficient innovation impulses and the lack of competitiveness of secondary raw materials inhibit the actors from applying and using new technologies and business models. Restricted access to knowledge and information, as well as a lack of transparency between the actors, also prove to be problematic. In order to answer the research question, the study recommends altering the framework conditions at meso and macro level. It proposes a platform for cooperation between designers, the introduction of a material declaration system and an eco-design guideline for textiles as possible development options. In addition, this work offers a matrix of criteria to help the actors test and improve their new waste management business models regarding their suitability for the circular economy. The analysis is carried out from an outsider's perspective on the entire textile industry. It therefore cannot cover and deal with all aspects and individual circumstances of each player in detail. The necessary changes in the framework conditions that have been identified can therefore be used as a basis for further investigations.
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Evenson, Kelly R., Ty A. Ridenour, Jacqueline Bagwell, and Robert D. Furberg. Sustaining Physical Activity Following Cardiac Rehabilitation Discharge. RTI Press, February 2021. http://dx.doi.org/10.3768/rtipress.2021.rr.0043.2102.

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Because many patients reduce exercise following outpatient cardiac rehabilitation (CR), we developed an intervention to assist with the transition and evaluated its feasibility and preliminary efficacy using a one-group pretest–posttest design. Five CR patients were enrolled ~1 month prior to CR discharge and provided an activity tracker. Each week during CR they received a summary of their physical activity and steps. Following CR discharge, participants received an individualized report that included their physical activity and step history, information on specific features of the activity tracker, and encouraging messages from former CR patients for each of the next 6 weeks. Mixed model trajectory analyses were used to test the intervention effect separately for active minutes and steps modeling three study phases: pre-intervention (day activity tracking began to CR discharge), intervention (day following CR discharge to day when final report sent), and maintenance (day following the final report to ~1 month later). Activity tracking was successfully deployed and, with weekly reports following CR, may offset the usual decline in physical activity. When weekly reports ceased, a decline in steps/day occurred. A scaled-up intervention with a more rigorous study design with sufficient sample size can evaluate this approach further.
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Carney, Nancy, Tamara Cheney, Annette M. Totten, Rebecca Jungbauer, Matthew R. Neth, Chandler Weeks, Cynthia Davis-O'Reilly, et al. Prehospital Airway Management: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), June 2021. http://dx.doi.org/10.23970/ahrqepccer243.

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Objective. To assess the comparative benefits and harms across three airway management approaches (bag valve mask [BVM], supraglottic airway [SGA], and endotracheal intubation [ETI]) by emergency medical services in the prehospital setting, and how the benefits and harms differ based on patient characteristics, techniques, and devices. Data sources. We searched electronic citation databases (Ovid® MEDLINE®, CINAHL®, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus®) from 1990 to September 2020 and reference lists, and posted a Federal Register notice request for data. Review methods. Review methods followed Agency for Healthcare Research and Quality Evidence-based Practice Center Program methods guidance. Using pre-established criteria, studies were selected and dual reviewed, data were abstracted, and studies were evaluated for risk of bias. Meta-analyses using profile-likelihood random effects models were conducted when data were available from studies reporting on similar outcomes, with analyses stratified by study design, emergency type, and age. We qualitatively synthesized results when meta-analysis was not indicated. Strength of evidence (SOE) was assessed for primary outcomes (survival, neurological function, return of spontaneous circulation [ROSC], and successful advanced airway insertion [for SGA and ETI only]). Results. We included 99 studies (22 randomized controlled trials and 77 observational studies) involving 630,397 patients. Overall, we found few differences in primary outcomes when airway management approaches were compared. • For survival, there was moderate SOE for findings of no difference for BVM versus ETI in adult and mixed-age cardiac arrest patients. There was low SOE for no difference in these patients for BVM versus SGA and SGA versus ETI. There was low SOE for all three comparisons in pediatric cardiac arrest patients, and low SOE in adult trauma patients when BVM was compared with ETI. • For neurological function, there was moderate SOE for no difference for BVM compared with ETI in adults with cardiac arrest. There was low SOE for no difference in pediatric cardiac arrest for BVM versus ETI and SGA versus ETI. In adults with cardiac arrest, neurological function was better for BVM and ETI compared with SGA (both low SOE). • ROSC was applicable only in cardiac arrest. For adults, there was low SOE that ROSC was more frequent with SGA compared with ETI, and no difference for BVM versus SGA or BVM versus ETI. In pediatric patients there was low SOE of no difference for BVM versus ETI and SGA versus ETI. • For successful advanced airway insertion, low SOE supported better first-pass success with SGA in adult and pediatric cardiac arrest patients and adult patients in studies that mixed emergency types. Low SOE also supported no difference for first-pass success in adult medical patients. For overall success, there was moderate SOE of no difference for adults with cardiac arrest, medical, and mixed emergency types. • While harms were not always measured or reported, moderate SOE supported all available findings. There were no differences in harms for BVM versus SGA or ETI. When SGA was compared with ETI, there were no differences for aspiration, oral/airway trauma, and regurgitation; SGA was better for multiple insertion attempts; and ETI was better for inadequate ventilation. Conclusions. The most common findings, across emergency types and age groups, were of no differences in primary outcomes when prehospital airway management approaches were compared. As most of the included studies were observational, these findings may reflect study design and methodological limitations. Due to the dynamic nature of the prehospital environment, the results are susceptible to indication and survival biases as well as confounding; however, the current evidence does not favor more invasive airway approaches. No conclusion was supported by high SOE for any comparison and patient group. This supports the need for high-quality randomized controlled trials designed to account for the variability and dynamic nature of prehospital airway management to advance and inform clinical practice as well as emergency medical services education and policy, and to improve patient-centered outcomes.
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Lavadenz, Magaly, Sheila Cassidy, Elvira G. Armas, Rachel Salivar, Grecya V. Lopez, and Amanda A. Ross. Sobrato Early Academic Language (SEAL) Model: Final Report of Findings from a Four-Year Study. Center for Equity for English Learners, Loyola Marymount University, 2020. http://dx.doi.org/10.15365/ceel.seal2020.

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The Sobrato Early Academic Language (SEAL) Model Research and Evaluation Final Report is comprised of three sets of studies that took place between 2015 and 2019 to examine the effectiveness of the SEAL Model in 67 schools within 12 districts across the state of California. Over a decade ago, the Sobrato Family Foundation responded to the enduring opportunity gaps and low academic outcomes for the state’s 1.2 million English Learners by investing in the design of the SEAL Model. The SEAL PreK–Grade 3 Model was created as a whole-school initiative to develop students’ language, literacy, and academic skills. The pilot study revealed promising findings, and the large-scale implementation of SEAL was launched in 2013. This report addresses a set of research questions and corresponding studies focused on: 1) the perceptions of school and district-level leaders regarding district and school site implementation of the SEAL Model, 2) teachers’ development and practices, and 3) student outcomes. The report is organized in five sections, within which are twelve research briefs that address the three areas of study. Technical appendices are included in each major section. A developmental evaluation process with mixed methods research design was used to answer the research questions. Key findings indicate that the implementation of the SEAL Model has taken root in many schools and districts where there is evidence of systemic efforts or instructional improvement for the English Learners they serve. In regards to teachers’ development and practices, there were statistically significant increases in the use of research-based practices for English Learners. Teachers indicated a greater sense of efficacy in addressing the needs of this population and believe the model has had a positive impact on their knowledge and skills to support the language and literacy development of PreK- Grade 3 English Learners. Student outcome data reveal that despite SEAL schools averaging higher rates of poverty compared to the statewide rate, SEAL English Learners in grades 2–4 performed comparably or better than California English Learners in developing their English proficiency; additional findings show that an overwhelming majority of SEAL students are rapidly progressing towards proficiency thus preventing them from becoming long-term English Learners. English Learners in bilingual programs advanced in their development of Spanish, while other English Learners suffered from language loss in Spanish. The final section of the report provides considerations and implications for further SEAL replication, sustainability, additional research and policy.
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