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Relevant bibliographies by topics / MEAs cost estimation

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Academic literature on the topic 'MEAs cost estimation'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "MEAs cost estimation"

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Rodríguez, Humberto, Gabriel Grimaldo, and Andrés Manzano. "Monitoreo de la Actividad Física a Partir de un Modelo Basado en Redes Neuronales, con Dispositivo "Wearable"." KnE Engineering 3, no. 1 (2018): 953. http://dx.doi.org/10.18502/keg.v3i1.1515.

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The smart devices used for health and physical activities monitoring are elements with high presence in the market of wearables. This work presents an estimaton method for walking speed based on a multilayer artificial neural netwok, which has been trained to obtain the ratio between this speed and the frequency of the arms motion, characteristics of each person. In spite of using only 3 input variables (hight weight and gender), errors than less than 10% were obtained for the mentioned ratio. In addition, the estimation algorith has been incorporated into a low cost, wrist weareable device, e

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Liu, Xiufang, Dianliang Deng, and Dehui Wang. "Estimating the quantile medical cost under time-dependent covariates and right censored time-to-event variable based on a state process." Statistical Methods in Medical Research 29, no. 8 (2019): 2041–62. http://dx.doi.org/10.1177/0962280219882968.

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Estimating the medical costs from disease diagnosis to a terminal event is of immense interest to researchers. However, most of existing literature on such research focused on the estimation of cumulative mean function (CMF) for history process. In this paper, the combined scheme of both inverse probability of censoring weighting (IPCW) technique and longitudinal quantile regression model is used to develop a novel procedure to the estimation of cumulative quantile function (CQF) based on history process with time-dependent covariates and right censored time-to-event variable. The consistency

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Ahn, DaeHan, Ji-Young Choi, Hee-Chul Kim, Jeong-Seok Cho, Kwang-Deog Moon, and Taejoon Park. "Estimating the Composition of Food Nutrients from Hyperspectral Signals Based on Deep Neural Networks." Sensors 19, no. 7 (2019): 1560. http://dx.doi.org/10.3390/s19071560.

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There is an increasing demand for acquiring details of food nutrients especially among those who are sensitive to food intakes and weight changes. To meet this need, we propose a new approach based on deep learning that precisely estimates the composition of carbohydrates, proteins, and fats from hyperspectral signals of foods obtained by using low-cost spectrometers. Specifically, we develop a system consisting of multiple deep neural networks for estimating food nutrients followed by detecting and discarding estimation anomalies. Our comprehensive performance evaluation demonstrates that the

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Pan, Wenqin, and Donglin Zeng. "Estimating Mean Cost Using Auxiliary Covariates." Biometrics 67, no. 3 (2011): 996–1006. http://dx.doi.org/10.1111/j.1541-0420.2010.01540.x.

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Chatzipetrou, Panagiota. "Software Cost Estimation." International Journal of Service Science, Management, Engineering, and Technology 10, no. 3 (2019): 14–31. http://dx.doi.org/10.4018/ijssmet.2019070102.

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Software cost estimation (SCE) is a critical phase in software development projects. A common problem in building software cost models is that the available datasets contain projects with lots of missing categorical data. There are several techniques for handling missing data in the context of SCE. The purpose of this article is to show a state-of-art statistical and visualization approach of evaluating and comparing the effect of missing data on the accuracy of cost estimation models. Five missing data techniques were used: multinomial logistic regression, listwise deletion, mean imputation,

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Lakusic, Stjepan. "Use of artificial intelligence for estimating cost of integral bridges." Journal of the Croatian Association of Civil Engineers 73, no. 03 (2021): 265–73. http://dx.doi.org/10.14256/jce.2831.2019.

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Estimation of costs is important in every phase of realisation of construction projects. However, the influence of cost estimation is the highest in early phases as it is then that the decision about accepting the job or withdrawing from the project is made. The quantity of data available in initial phases of the project is smaller compared to subsequent phases, which affects accuracy of cost estimation in such early phases. A research making use of artificial intelligence to estimate construction costs of integral road bridges is presented in the paper. The estimation model is prepared by mea

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Bechtold, William A., Manfred E. Mielke, and Stanley J. Zarnoch. "Comparison of Field Methods and Models to Estimate Mean Crown Diameter." Northern Journal of Applied Forestry 19, no. 4 (2002): 177–82. http://dx.doi.org/10.1093/njaf/19.4.177.

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Abstract The direct measurement of crown diameters with logger's tapes adds significantly to the cost of extensive forest inventories. We undertook a study of 100 trees to compare this measurement method to four alternatives—two field instruments, ocular estimates, and regression models. Using the taping method as the standard of comparison, accuracy of the tested alternatives was adequate for softwood species, but short of the specified measurement quality objective for estimating the mean crown diameter of hardwoods. Due to savings in field costs, ocular estimation and regression models were

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Cui, Shitong, Le Liu, Wei Xing, and Xudong Zhao. "Periodic Event-Triggered Estimation for Networked Control Systems." Electronics 10, no. 18 (2021): 2215. http://dx.doi.org/10.3390/electronics10182215.

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This paper considers the problem of remote state estimation in a linear discrete invariant system, where a smart sensor is utilized to measure the system state and generate a local estimate. The communication depends on an event scheduler in the smart sensor. When the channel between the remote estimator and the smart sensor is activated, the remote estimator simply adopts the estimate transmitted by the smart sensor. Otherwise, it calculates an estimate based on the available information. The closed-form of the minimum mean-square error (MMSE) estimator is introduced, and we use Gaussian pres

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Meharie, Meseret Getnet, Zachary C. Abiero Gariy, Raphael Ngumbau Ndisya Mutuku, and Wubshet Jekale Mengesha. "An Effective Approach to Input Variable Selection for Preliminary Cost Estimation of Construction Projects." Advances in Civil Engineering 2019 (June 25, 2019): 1–14. http://dx.doi.org/10.1155/2019/4092549.

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Accurate cost estimates are vital to the effective realisation of construction projects. Extended knowledge, wide-ranging information, substantial expertise, and continuous improvement are required to attain accurate cost estimation. Cost estimation at the preliminary phase of the project is always a challenge as only limited information is available. Hence, rational selection of input variables for preliminary cost estimation could be imperative. A systematic input variable selection approach for preliminary estimating using an integrated methodology of factor analysis and fuzzy AHP is presen

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Chattopadhyay, Bhargab, and Ken Kelley. "Estimating the standardized mean difference with minimum risk: Maximizing accuracy and minimizing cost with sequential estimation." Psychological Methods 22, no. 1 (2017): 94–113. http://dx.doi.org/10.1037/met0000089.

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Dissertations / Theses on the topic "MEAs cost estimation"

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Bonifacio, Rafael Nogueira. "Estudo e desenvolvimento de conjuntos membrana-eletrodos (MEA) para célula a combustível de eletrólito polimérico condutor de prótons (PEMFC) com eletrocatalisadores à base de paládio." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/85/85134/tde-09012014-144413/.

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Sistemas de PEMFC são capazes de gerar energia elétrica com alta eficiência e baixa ou nenhuma emissão de poluentes, porém questões de custo e durabilidade impedem sua ampla comercialização. Nesse trabalho foi desenvolvido um MEA com eletrocatalisadores à base de paládio. Foram sintetizados e caracterizados eletrocatalisadores Pd/C, Pt/C e Ligas PdPt/C com diferentes razões entre metais e carbono. Foi realizado um estudo da razão entre ionômero de Nafion e eletrocatalisador para formação de triplas fases reacionais de máximos desempenhos, criado um modelo matemático para transpor esse ajuste p

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Barrett, Justin Michael. "Analyzing and Modeling Low-Cost MEMS IMUs for use in an Inertial Navigation System." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/581.

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Inertial navigation is a relative navigation technique commonly used by autonomous vehicles to determine their linear velocity, position and orientation in three-dimensional space. The basic premise of inertial navigation is that measurements of acceleration and angular velocity from an inertial measurement unit (IMU) are integrated over time to produce estimates of linear velocity, position and orientation. However, this process is a particularly involved one. The raw inertial data must first be properly analyzed and modeled in order to ensure that any inertial navigation system (INS) that us

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Bouffard, Joshua Lee. "An Alternative Sensor Fusion Method For Object Orientation Using Low-Cost Mems Inertial Sensors." ScholarWorks @ UVM, 2016. https://scholarworks.uvm.edu/graddis/537.

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This thesis develops an alternative sensor fusion approach for object orientation using low-cost MEMS inertial sensors. The alternative approach focuses on the unique challenges of small UAVs. Such challenges include the vibrational induced noise onto the accelerometer and bias offset errors of the rate gyroscope. To overcome these challenges, a sensor fusion algorithm combines the measured data from the accelerometer and rate gyroscope to achieve a single output free from vibrational noise and bias offset errors. One of the most prevalent sensor fusion algorithms used for orientation estimati

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Myte, Robin. "Competition in the Swedish Food Retail Industry : An empirical pilot study estimating the mean price-cost markup." Thesis, Umeå universitet, Nationalekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-56807.

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Lueza, Béranger. "Estimation du bénéfice de survie à partir de méta-analyse sur données individuelles et évaluation économique." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS268/document.

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Le bénéfice de survie restreint à un horizon temporel donné a été proposé comme mesure alternative aux mesures relatives de l’effet d’un traitement notamment dans le cas de non proportionnalité des risques de décès. Le bénéfice de survie restreint correspond à la différence des survies moyennes entre deux bras de traitement et s’exprime en nombre d’années de vie gagnées. Dans la littérature, cette mesure est présentée comme plus intuitive que le hazard ratio et plusieurs auteurs ont proposé son utilisation pour le design et l’analyse d’un essai clinique. Toutefois, ce n’est pas actuellement la

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Lin, Yi-Hui, and 林怡慧. "Estimating mean of medical cost on survival analysis." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/00122430829186967088.

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碩士<br>中原大學<br>應用數學研究所<br>103<br>In recent years, pharmacoeconomics plays a very important role in price regulation because the medical costs spent on disease treatment, consisting of direct costs and indirect costs, have been dramatically increasing. Therefore, the medical costs need to be carefully estimated. However, because not all the life time events and the corresponding costs of all observations can be completely observed, it is always difficult to estimate the medical costs. Different from the methods in the literature, we investigate the medical costs of both complete and censored dat

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Chen, Shuai. "Statistical Inference for Costs and Incremental Cost-Effectiveness Ratios with Censored Data." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10963.

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Cost-effectiveness analysis is widely conducted in the economic evaluation of new treatment options. In many clinical and observational studies of costs, data are often censored. Censoring brings challenges to both medical cost estimation and cost-effectiveness analysis. Although methods have been proposed for estimating the mean costs with censored data, they are often derived from theory and it is not always easy to understand how these methods work. We provide an alternative method for estimating the mean cost more efficiently based on a replace-from-the-right algorithm, and show that this

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Jeng, Ya-chung, and 鄭雅中. "Regression Estimation for Medical Costs Based on Proportional Means Models." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/81392270563232577835.

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碩士<br>國立臺灣大學<br>流行病學研究所<br>90<br>A cost-effectiveness analysis for a chronic or fatal disease is an important issue to public health. To address such issue, follow-up studies of medical costs on these diseases are often conducted, and the medical costs may be right censored during the follow-up period. Regression analysis is considered to explore the relationship between the medical costs and the covariates of interest. However, the traditional assumption of independency between complete and incomplete data used in the Cox’s regression model cannot be applied to censored medical costs. To hand

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Desai, Pooja Rajiv. "Estimation of direct and indirect costs of treating schizophrenia for community-dwelling US residents." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-12-4498.

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Schizophrenia is a chronic and debilitating disease that affects approximately one percent of the US population and exerts a disproportionately high financial burden on the society. The objective of this study was to estimate the direct and indirect costs of schizophrenia among community-dwelling US residents and identify patient characteristics associated with high schizophrenia-related direct costs. Patients with a diagnosis of schizophrenia (ICD-9 code 295) or other non-organic psychoses (ICD-9 code 298) between January 1, 2005 and December 31, 2008 were identified from the Medical Expendi

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Kang, Chun Ta, and 康峻達. "Cost Estimation for a Production Scheduling Using Silver-Meal Based Heuristic Method for the Multi-Item Dynamic Lot Sizing Problem with Permissible Backordering." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/43918298815076251757.

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碩士<br>台灣首府大學<br>工業管理學系研究所<br>103<br>The main points of enterprise focus on cost management, production management, capital management, stock management and quality and quantity management, but capital management is the weak link. The company which focus on raising turnover rate of stock and cost down with the minimum price will get more profit than the company which focus on goods and material of reserves. Others with negative comment think that the mass order with the minimum price doest not ensure to make the most profit. When the company can accept stock out and consider to purchase some or

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Books on the topic "MEAs cost estimation"

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T, Greene Sheldon, ed. Means plumbing estimating: Practical methods for contractors : includes fire protection and medical gas. R.S. Means Co., 1991.

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Means repair & remodeling cost data, commercial/ residential. 1991.

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Rsmeans. Green Building: Project Planning & Cost Estimating (Means Green Building: Project Planning & Cost Estimating). 2nd ed. R.S. Means Company, 2006.

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Green Building: Project Planning & Cost Estimating (Means Green Building: Project Planning & Cost Estimating). R.S. Means Company, 2002.

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Means cost planning and estimating for facilities maintenance. R.S. Means Company, Inc., 1992.

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Fujii, Tomoki, and Roy van der Weide. Cost-Effective Estimation of the Population Mean Using Prediction Estimators. The World Bank, 2013. http://dx.doi.org/10.1596/1813-9450-6509.

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R.S. Means Company (Corporate Author), Phillip R. Waier (Editor), and Carl W. Linde (Illustrator), eds. Means Unit Price Estimating Methods: Standards & Procedures for Using Unit Price Cost Data. 2nd ed. R.S. Means Company, 1993.

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R, Waier Phillip, and R. S. Means Company, eds. Means unit price estimating methods: Standards & procedures for using unit price cost data. 2nd ed. R.S. Means Co., 1993.

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Hosein, Shapouri, and United States. Dept. of Agriculture. Economic Research Service., eds. Costs of producing U.S. livestock, 1972-87: Estimating and methodology update. U.S. Dept. of Agriculture, Economic Research Service, 1990.

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Book chapters on the topic "MEAs cost estimation"

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Hannay, Jo Erskine. "Benefit Points for the Project." In Benefit/Cost-Driven Software Development. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74218-8_3.

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AbstractWe start by looking at projects and their most abstract product elements, the epics, and show how to estimate their benefit using benefit points. Then we show how to sort epics according to a benefit-cost index to help decide the order in which to put epics into releases. Instantiating points with a monetary value provides added means of prioritizing and determining when to stop sending epics into construction. We show two modes of estimating benefit: one where the purpose is to fulfil a given goal (confirmatory mode), and the other where the purpose is to explore where to set the goal (exploratory mode).

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Lou, Lu, Mark Neal, Frédéric Labrosse, and Juan Cao. "An Approach to Improving Attitude Estimation Based on Low-Cost MEMS-IMU for Mobile Robot Navigation." In Towards Autonomous Robotic Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23232-9_36.

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Mendes, Emilia. "How Accurate is an Effort Model?" In Cost Estimation Techniques for Web Projects. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-135-3.ch003.

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Building effort models or using techniques to obtain a measure of estimated effort does not mean that the effort estimates obtained will be accurate. As such, it is also important and necessary to assess the estimation accuracy of the effort models or techniques under scrutiny. For this, we need to employ a process called cross-validation. Cross-validation means that part of the original data set is used to build an effort model, or is used by an effort estimation technique, leaving the remainder of the data set (data not used in the model-building process) to be used to validate the model or technique. In addition, in parallel with conducting cross-validation, prediction accuracy measures are also obtained. Examples of de facto accuracy measures are the mean magnitude of relative error (MMRE), the median magnitude of relative error (MdMRE), and prediction at 25% (Pred[25]).

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Valverde, Raul. "An Adaptive Neural Network for the Cost Estimation of E-Learning Projects in the United Kingdom." In Deep Learning and Neural Networks. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch081.

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This research aims to address the problems of estimating e-Learning development costs particularly within the United Kingdom. Hundreds of managers with no prior experience of managing e-Learning development often find themselves needing to produce cost estimations for e-Learning development. The lack of prior experience in e-Learning development means that these managers will not be able to apply structured expert judgement to their cost estimations and the risk of inaccurate estimations will be high, with all the subsequent problems this will bring with it. Although an e-learning project cost model that serves this purpose has been developed in the past by the author, the previous e-learning model was based on multi regression analysis that has the great limitation of losing its relevancy as the industry changes, the new proposed model uses an adaptive neural network model that copes with changes as it can be trained easily with new data and this allows the management to keep more accurate cost estimates that reflect market changes.

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Mendes, Emilia, and Nile Mosley. "Web Cost Estimation." In Web Engineering. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-432-3.ch008.

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Despite the diversity of Web application types, technologies employed, and the number of free templates available on the Web, we still have a considerable amount of Web companies bidding and competing for as many Web projects as they can accommodate. Bidding and winning a proposal does not mean that the project will be developed within time and budget. Cost estimation can help managers manage projects adequately and bid for projects based on realistic and feasible costs and deadlines. The objective of this chapter is to briefly introduce cost estimation principles, followed by a literature review of Web cost estimation. Then we compare this literature according to set criteria.

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Hankin, David G., Michael S. Mohr, and Ken B. Newman. "Multi-phase sampling." In Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.003.0010.

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Attention is restricted to two-phase or double sampling. A large first-phase sample is used to generate a very good estimate of the mean or total of an auxiliary variable, x, which is relatively cheap to measure. Then, a second-phase sample is selected, usually from the first-phase sample, and both auxiliary and target variables are measured in selected second-phase population units. Two-phase ratio or regression estimators can be used effectively in this context. Errors of estimation reflect first-phase uncertainty in the mean or total of the auxiliary variable, and second-phase errors reflect the nature of the relation and correlation between auxiliary and target variables. Accuracy of the two-phase estimator of a proportion depends on sensitivity and specificity. Sensitivity is the probability that a unit possessing a trait (y = 1) will be correctly classified as such whenever the auxiliary variable, x, has value 1, whereas specificity is the probability that a unit not possessing a trait (y = 0) will be correctly classified as such whenever the auxiliary variable, x, has value 0. Optimal allocation results for estimation of means, totals, and proportions allow the most cost-effective allocation of total sampling effort to the first- and second-phases. In double sampling with stratification, a large first-phase sample estimates stratum weights, a second-phase sample estimates stratum means, and a stratified estimator gives an estimate of the overall population mean or total.

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Mendes, Emilia. "What is the Best Technique?" In Cost Estimation Techniques for Web Projects. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-135-3.ch008.

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Although numerous studies on Web effort estimation have been carried out to date, there is no consensus on what constitutes the best effort estimation technique to be used by Web companies. It seems that not only the effort estimation technique itself can influence the accuracy of predictions, but also the characteristics of the data set used (e.g., skewness, collinearity; Shepperd & Kadoda, 2001). Therefore, it is often necessary to compare different effort estimation techniques, looking for those that provide the best estimation accuracy for the data set being employed. With this in mind, the use of graphical aids such as boxplots is not always enough to assess the existence of significant differences between effort prediction models. The same applies to measures of prediction accuracy such as the mean magnitude of relative error (MMRE), median magnitude of relative error (MdMRE), and prediction at level l (Pred[25]). Other techniques, which correspond to the group of statistical significance tests, need to be employed to check if the different residuals obtained for each of the effort estimation techniques compared come from the same population. This chapter details how to use such techniques and how their results should be interpreted.

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Manikandan, S. "Depth Estimation for HDR Images." In 3-D Surface Geometry and Reconstruction. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0113-0.ch007.

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In this chapter, depth estimation for stereo pair of High Dynamic Range (HDR) images is proposed. The proposed algorithm consists of two major techniques namely conversion of HDR images to Low Dynamic Range (LDR) images or Standard Dynamic Range (SDR) images and estimating the depth from the converted LDR / SDR stereo images. Local based tone mapping technique is used for the conversion of the HDR images to SDR images. And the depth estimation is done based on the corner features of the stereo pair images and block matching algorithm. Computationally much less expensive cost functions Mean Square Error (MSE) or Mean Absolute Difference (MAD) can be used for block matching algorithms. The proposed algorithm is explained with illustrations and results.

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Mendes, Emilia. "Web Effort Estimation Using Classification and Regression Trees." In Cost Estimation Techniques for Web Projects. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-135-3.ch007.

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The use of realistic effort estimates is fundamental to both software and Web project management as they help project managers allocate resources, control costs and schedule, and improve current practices, leading to projects that are finished on time and within budget. Different effort techniques have been used to obtain effort estimates for Web projects. Two—stepwise regression and case-based reasoning—have already been presented in Chapters V and VI respectively. In this chapter we detail a third technique used to obtain effort estimates for Web projects, known as classification and regression trees (CART), that is considered a machine-learning technique. We detail its use by means of a case study where a real effort prediction model based on data from completed industrial Web projects is constructed step by step.

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Hankin, David G., Michael S. Mohr, and Ken B. Newman. "Single-stage cluster sampling: Clusters of equal size." In Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.003.0006.

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Similar to strata, population units may instead be grouped into clusters. Usually, units within clusters are geographically or genetically close to one another—all households on a city block, individuals within a single family. In (single-stage) equal size cluster sampling, the total population consists of N clusters, with equal numbers of population units within each cluster. A sample of n clusters is selected by SRS, y values of all population units within clusters are measured, and an unbiased estimator of the population mean is the simple average of cluster means in the sample. An ANOVA sum of squares partition can be used to show that this strategy will outperform SRS with mean-per-unit estimation whenever the mean square between clusters is less than the finite population variance. This means that it is desirable for clusters to have similar means but a great deal of variability within clusters, a contrast with the desirable characteristics of strata (little variability within strata, substantial difference between stratum means). Many methods of collection of samples in fisheries (seines, nets) and wildlife (mist nets, live traps) involve collection of individuals as clusters. Unfortunately, clusters (e.g., human families) often consist of closely related or similar individuals. Because within cluster variation is often relatively low, it is often advantageous and cost-effective to instead adopt two-stage cluster sampling (considered in Chapter 9) for which only a sample of units within each selected cluster are examined, thereby allowing more clusters to be examined for the same total survey cost.

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Conference papers on the topic "MEAs cost estimation"

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Guo, Liren, Yihua Hu, and Yunpeng Wang. "Mean likelihood estimation of target micro-motion parameters in laser detection." In SPIE/COS Photonics Asia, edited by Yongtian Wang, Tina E. Kidger, and Kimio Tatsuno. SPIE, 2016. http://dx.doi.org/10.1117/12.2247697.

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Di, Long, Haiyang Chao, and YangQuan Chen. "A two-stage calibration method for low-cost UAV attitude estimation using infrared sensor." In 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2010. http://dx.doi.org/10.1109/mesa.2010.5552079.

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Donndelinger, Joseph A., and Peter A. Fenyes. "Application of Math-Based Marketing and Financial Tools in an Automated Parametric Design Framework." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57437.

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A suite of math-based marketing and financial tools has been deployed and exercised within an automated, multidisciplinary parametric design framework. This suite of tools includes a market share estimator based on Cook’s S-Model, a Technical Cost Model for estimating the variable and fixed costs of the vehicle’s body system, a database of cost estimates for other vehicle systems, and a profit estimator developed from a standard accounting template. Development of the S-Model market share estimator included completion of a Demand-Price analysis for the midsize sedan segment and collection of p

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Porter, J. David, Brian K. Paul, and Beom-Sahng Ryuh. "Cost Drivers in Microlamination Based on a High-Volume Production System Design." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32896.

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The purpose of this research is to develop a cost estimation model in an attempt to begin exploring the current cost drivers for microlamination. To do this without actual cost information, a production system design is proposed for the high-volume production of MECS devices. Constraints on this facility are that it produces microlaminated structures from stainless steel diffusion bonding. Also, a cost estimation model is developed based on the known cycle time and capital equipment costs from the production system design. Finally, a sensitivity analysis is performed to determine the cost driv

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Shin, S. H., C. G. Park, J. W. Kim, H. S. Hong, and J. M. Lee. "Adaptive Step Length Estimation Algorithm Using Low-Cost MEMS Inertial Sensors." In 2007 IEEE Sensors Applications Symposium. IEEE, 2007. http://dx.doi.org/10.1109/sas.2007.374406.

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Matijas, Marin, Marin Cerjan, and Slavko Krajcar. "Mean-based method of estimating financial cost of load forecasting." In 2011 European Energy Market (EEM). IEEE, 2011. http://dx.doi.org/10.1109/eem.2011.5953007.

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Kong, Xianglong, Jianchuan Li, Huapeng Yu, and Wenqi Wu. "Robust Kalman filtering for attitude estimation using low-cost MEMS-based sensors." In 2014 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC). IEEE, 2014. http://dx.doi.org/10.1109/cgncc.2014.7007604.

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Favi, Claudio, Federico Campi, Marco Mandolini, Irene Martinelli, and Michele Germani. "Conceptual Cost Estimation of Multistage Axial Compressor Modules." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11587.

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Abstract Development of product architectures is a fundamental task in the conceptual design of complex products such as axial compressor of gas turbines. The definition of cost-effective architectures results from the introduction of conceptual cost estimation models aiming at the assessment of economical performances of different modules. Conceptual cost estimation means the product cost assessment in conceptual design phase. These models vary based on the technical and geometrical features of the defined product modules as well as to the specific manufacturing processes. The paper aims to d

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Nass, Susanne, Andre Sprenger, and Reiner Anderl. "Methodology for Estimation of Life Cycle Orientated Optimizatation Measures of Investment Goods." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39693.

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A manufacturer of any kind of product has to be in contrast to competitive to survive on market. A major point to win a customer over is the arrangements of costs. In investment goods industry asset cost are just the tip of the iceberg. Most of their costs accrue by use. Because of that it is important to overview the whole costs of the product life cycle. Product life cycle costs describe the cost of a product over its whole life. This includes all expenses from development, production and use to recycling and refers to manufacturer and customer equally. The majority of costs are determined i

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Calloway, Thomas, and Dalila B. Megherbi. "Orientation estimation via low cost depth sensor ICP versus MEMS gyroscope sensor fusion." In 2014 IEEE International Symposium on Robotics and Manufacturing Automation (ROMA). IEEE, 2014. http://dx.doi.org/10.1109/roma.2014.7295857.

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Reports on the topic "MEAs cost estimation"

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DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, et al. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.

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Objective: The purpose of this study was to assess the feasibility of administering the Automated Multiple-Pass Method (AMPM), a widely used tool for collecting 24-hour dietary recalls, in participants’ homes by field interviewers. Design: The design included computer-assisted personal interviews led by either a nutritionist (standard) or field interviewer. Portion estimators tested were a set of three-dimensional food models (standard), a two-dimensional food model booklet, or a tablet with digital images rendered via augmented reality. Setting: Residences in central North Carolina. Participa

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Tarko, Andrew P., Mario Romero, Cristhian Lizarazo, and Paul Pineda. Statistical Analysis of Safety Improvements and Integration into Project Design Process. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317121.

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RoadHAT is a tool developed by the Center for Road Safety and implemented for the INDOT safety management practice to help identify both safety needs and relevant road improvements. This study has modified the tool to facilitate a quick and convenient comparison of various design alternatives in the preliminary design stage for scoping small and medium safety-improvement projects. The modified RoadHAT 4D incorporates a statistical estimation of the Crash Reduction Factors based on a before-and-after analysis of multiple treated and control sites with EB correction for the regression-to-mean ef

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Fu, Gongkang. Evaluation of Illinois Bridge Deterioration Models. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-029.

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The National Bridge Inventory bridge inspection system ranks the condition of bridge components on a scale of zero to nine. The resulting condition ratings represent an important element considered in deciding measures for bridge maintenance, repair, and rehabilitation. Thus, forecasting future condition ratings well is critical to reliable planning for these activities and estimating the costs. The Illinois Department of Transportation currently has deterministic models for this purpose. This study’s objective is to review the current models using condition rating histories gathered from 1980

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