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Journal articles on the topic 'Estimate parameters'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Goryainov, V. B., and W. M. Khing. "Exponential Autoregressive Parameters Estimation." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 5 (86) (October 2019): 4–18. http://dx.doi.org/10.18698/1812-3368-2019-5-4-18.

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The purpose of the research was to compare the least squares estimatate and the least absolute deviation estimate depending on the probability distribution of the renewal process of the autoregressive equation. To achieve this goal, the sequence of observations of the exponential autoregressive process was repeatedly reproduced using computer simulation, and the least squares estimate and the least absolute deviation estimate were calculated for each sequence. The resulting estimation sequences were used to calculate the sample variances of the least squares estimate and the least absolute dev

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2

Fu, Y. X., and W. H. Li. "Maximum likelihood estimation of population parameters." Genetics 134, no. 4 (1993): 1261–70. http://dx.doi.org/10.1093/genetics/134.4.1261.

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Abstract One of the most important parameters in population genetics is theta = 4Ne mu where Ne is the effective population size and mu is the rate of mutation per gene per generation. We study two related problems, using the maximum likelihood method and the theory of coalescence. One problem is the potential improvement of accuracy in estimating the parameter theta over existing methods and the other is the estimation of parameter lambda which is the ratio of two theta's. The minimum variances of estimates of the parameter theta are derived under two idealized situations. These minimum varia

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Boularouk, Y., and K. Djeddour. "New approximation for ARMA parameters estimate." Mathematics and Computers in Simulation 118 (December 2015): 116–22. http://dx.doi.org/10.1016/j.matcom.2015.01.004.

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4

Wakeley, John, and Jody Hey. "Estimating Ancestral Population Parameters." Genetics 145, no. 3 (1997): 847–55. http://dx.doi.org/10.1093/genetics/145.3.847.

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The expected numbers of different categories of polymorphic sites are derived for two related models of population history: the isolation model, in which an ancestral population splits into two descendents, and the size-change model, in which a single population undergoes an instantaneous change in size. For the isolation model, the observed numbers of shared, fixed, and exclusive polymorphic sites are used to estimate the relative sizes of the three populations, ancestral plus two descendent, as well as the time of the split. For the size-change model, the numbers of sites segregating at part

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Lima, Lidiane Kely de, Magno Antonio Patto Ramalho, Ricardo Augusto Diniz Cabral Ferreira, and Ângela de Fátima Barbosa Abreu. "Repeatability of adaptability and stability parameters of common bean in unpredictable environments." Pesquisa Agropecuária Brasileira 48, no. 9 (2013): 1254–59. http://dx.doi.org/10.1590/s0100-204x2013000900009.

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The objective of this work was to estimate the repeatability of adaptability and stability parameters of common bean between years, within each biennium from 2003 to 2012, in Minas Gerais state, Brazil. Grain yield data from trials of value for cultivation and use common bean were analyzed. Grain yield, ecovalence, regression coefficient, and coefficient of determination were estimated considering location and sowing season per year, within each biennium. Subsequently, a analysis of variance these estimates was carried out, and repeatability was estimated in the biennia. Repeatability estimate

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Imbayarwo-Chikosi, E. V., S. M. Makuza, C. B. A. Wollny, and J. W. Banda. "Genetic and phenotypic parameters for individual cow somatic cell counts in Zimbabwean Holstein-Friesian cattle." Archives Animal Breeding 44, no. 2 (2001): 129–38. http://dx.doi.org/10.5194/aab-44-129-2001.

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Abstract. Genetic and phenotypic parameters for lactation average individual cow SCC in Holstein cattle were estimated. Records from the Zimbabwe Dairy Services Association included a total of 7912 lactation records, from which were 1453 first lactation, 2211 second lactation and 4248 third and later lactation records for the period 1994 to 1998. SCC were transformed through a base 2 logarithm. Genetic parameters were estimated with the AIREML Programme. A univariate mixed animal model was used to estimate heritabilities and repeatabilities. The heritability estimates for log2SCC were 0.10, 0.

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Sena, Luciano Silva, Gleyson Vieira dos Santos, Tatiana Saraiva Torres, et al. "Genetic parameters for carcass traits and body size of meat sheep." Semina: Ciências Agrárias 37, no. 4Supl1 (2016): 2477. http://dx.doi.org/10.5433/1679-0359.2016v37n4supl1p2477.

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The present study aimed to estimate variance components and heritability coefficients (h2) in Santa Inês sheep by single- and two-trait analyses for the traits loin eye area (LEA), length (LEL) and maximum depth (LED), in the longissimus dorsi muscle, subcutaneous fat thickness (SFT), fat thickness over the biceps femoris muscle (FTBF), croup height (CH), thoracic circumference (TC), thoracic depth (TD), body length (BL), and adult live weight (ALW). The restricted maximum likelihood (REML) was used to estimate variance components in an animal model. In both types of analyses, we estimated mod

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8

Uzhga Rebrov, Oleg, and Galina Kuleshova. "FUZZY ROBUST ESTIMATES OF LOCATION AND SCALE PARAMETERS OF A FUZZY RANDOM VARIABLE." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2 (June 17, 2021): 181–86. http://dx.doi.org/10.17770/etr2021vol2.6566.

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A random variable is a variable whose components are random values. To characterise a random variable, the arithmetic mean is widely used as an estimate of the location parameter, and variation as an estimate of the scale parameter. The disadvantage of the arithmetic mean is that it is sensitive to extreme values, outliers in the data. Due to that, to characterise random variables, robust estimates of the location and scale parameters are widely used: the median and median absolute deviation from the median. In real situations, the components of a random variable cannot always be estimated in

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9

Naumov, A. K., and E. A. Skutina. "Methods of parameters estimate of ice formations." Arctic and Antarctic Research 65, no. 1 (2019): 77–91. http://dx.doi.org/10.30758/0555-2648-2019-65-1-77-91.

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The ice cover of the Arctic Seas is an important component of the natural conditions. It is impossible the construction and safe exploitation of the hydrotechnical structures and lines of communications on the shelf, reasonable planning and conducting of cargo and transport operations, organization of environmental protection measures without taking into account an ice cover.The information on morphometric and dynamic characteristics of ice formations, physical and mechanical ice properties, presence of icebergs and its bergy bits with various mortphometric and dynamic characteristics in the w

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10

Chen, Li Hong, and Yu Fei Zhao. "Reliability Method to Estimate Shear Strength Parameters." Applied Mechanics and Materials 52-54 (March 2011): 1752–56. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1752.

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The design and safety evaluation of a geotechnical project is influenced by the shear strength parameters of geo-material. Moment method and linear regression method are the mainly used methods to estimate the shear strength parameters. But moment method is always over estimate the variation of strength parameters due to the smaller sample size, meanwhile the conventional linear regression method cannot obtain the standard deviation. Base on the reliability theory, a new method employing Solver add-in of spreadsheet was developed to calculate the shear strength parameters. The method was simpl

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11

Zakwan, Mohammad, Mohammad Muzzammil, and Javed Alam. "Application of spreadsheet to estimate infiltration parameters." Perspectives in Science 8 (September 2016): 702–4. http://dx.doi.org/10.1016/j.pisc.2016.06.064.

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12

Alberto Borghese, Nunzio, and Stefano Ferrari. "Hierarchical RBF networks and local parameters estimate." Neurocomputing 19, no. 1-3 (1998): 259–83. http://dx.doi.org/10.1016/s0925-2312(97)00094-5.

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13

Vikram, Durgesh, and Nikhil Saboo. "Effective Technique to Estimate Cross Model Parameters." Journal of Materials in Civil Engineering 29, no. 11 (2017): 04017203. http://dx.doi.org/10.1061/(asce)mt.1943-5533.0002043.

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14

Nunes, H. G. G., J. A. N. Pombo, P. M. R. Bento, S. J. P. S. Mariano, and M. R. A. Calado. "Collaborative swarm intelligence to estimate PV parameters." Energy Conversion and Management 185 (April 2019): 866–90. http://dx.doi.org/10.1016/j.enconman.2019.02.003.

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15

Zhang, Shaosong, and Jun Zhang. "A New Approach to Estimate Directional Spreading Parameters of a Cosine-2s Model." Journal of Atmospheric and Oceanic Technology 23, no. 2 (2006): 287–301. http://dx.doi.org/10.1175/jtech1846.1.

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Abstract For accurate and consistent estimates of the directional spreading parameter and mean wave direction of directional seas based on a cosine-2s directional spreading model, a new approach is proposed, employing a maximum likelihood method (MLM) to estimate the directional spreading function and then the angular Fourier coefficients. Because an MLM is more tolerant of errors in the estimated cross-spectrum than a directional Fourier transfer used in the conventional approach, the proposed approach is able to estimate the directional spreading parameter more accurately and consistently, w

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16

KISSLINGER, LEONARD S., ERNEST M. HENLEY та MIKKEL B. JOHNSON. "NEUTRINO OSCILLATION IN MATTER AND PARAMETERS s13, δCP". International Journal of Modern Physics E 21, № 07 (2012): 1250065. http://dx.doi.org/10.1142/s0218301312500656.

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We estimate the dependence of νμ to νe conversion on parameters θ13 and δ CP for several experimental facilities studying neutrino oscillations. We use the S-Matrix theory to estimate νe disappearance and compare estimates based on an older theory being used to extract θ13 from the Double Chooz, Daya Bay, and RENO data, to assist in extracting an accurate value for θ13 from these projects. We use values of θ13 within known limits, and estimate the dependence of νμ-νe CP violation (CPV) probability on δ CP in order to suggest new experiments to measure CPV for neutrinos moving in matter.

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17

Nibbelink, Nathan P., and Stephen R. Carpenter. "Interlake variation in growth and size structure of bluegill (Lepomis macrochirus): inverse analysis of an individual-based model." Canadian Journal of Fisheries and Aquatic Sciences 55, no. 2 (1998): 387–96. http://dx.doi.org/10.1139/f97-207.

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Habitat structure alters food availability and predation risk, thereby directly affecting growth, mortality, and size structure of fish populations. Size structure has often been used to infer patterns of resource abundance and predation. However, food availability and predation risk in contrasting habitats have proven difficult to measure in the field. We use an inverse modeling approach to estimate food availability and habitat choice parameters from changes in length distributions of bluegill (Lepomis macrochirus). The model suggests that dynamics of bluegill length distributions primarily

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18

Pilling, Graham M., Geoffrey P. Kirkwood, and Stephen G. Walker. "An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters." Canadian Journal of Fisheries and Aquatic Sciences 59, no. 3 (2002): 424–32. http://dx.doi.org/10.1139/f02-022.

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A new method for estimating individual variability in the von Bertalanffy growth parameters of fish species is presented. The method uses a nonlinear random effects model, which explicitly assumes that an individual's growth parameters represent samples from a multivariate population of growth parameters characteristic of a species or population. The method was applied to backcalculated length-at-age data from the tropical emperor, Lethrinus mahsena. Individual growth parameter variability estimates were compared with those derived using the current "standard" method, which characterizes the j

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19

Pereira, Erica M., Irenilza de A. Nääs, and Rodrigo G. Garcia. "Identification of acoustic parameters for broiler welfare estimate." Engenharia Agrícola 34, no. 3 (2014): 413–21. http://dx.doi.org/10.1590/s0100-69162014000300004.

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Estimates of broiler welfare have subjective character. Nowadays, researchers seek non-invasive features or indicators that may describe this condition in animal production. The aim of this study was to identify acoustic parameters to estimate broiler welfare using the following five vocalization acoustic parameters: energy, spectral centroid, bandwidth, first formant, and second formant. The database that generated the model was obtained from a field experiment with 432 broilers, which half were Cobb® and half, Ross® breed, from day 21 to 42, containing bird vocalizations under either welfare

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20

Yi, Kyongsu, and Karl Hedrick. "Observer-Based Identification of Nonlinear System Parameters." Journal of Dynamic Systems, Measurement, and Control 117, no. 2 (1995): 175–82. http://dx.doi.org/10.1115/1.2835177.

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This paper deals with an observer-based nonlinear system parameter identification method utilizing repetitive excitation. Although methods for physical parameter identification of both linear and nonlinear systems are already available, they are not attractive from a practical point of view since the methods assume that all the system, x, and the system input are available. The proposed method is based on a “sliding observer” and a least-square method. A sufficient condition for the convergence of the parameter estimates is provided in the case of “Lipschitz” nonlinear second-order systems. Th

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Scarpari, Maximiliano Salles, and Edgar Gomes Ferreira de Beauclair. "Sugarcane maturity estimation through edaphic-climatic parameters." Scientia Agricola 61, no. 5 (2004): 486–91. http://dx.doi.org/10.1590/s0103-90162004000500004.

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Sugarcane (Saccharum officinarum L.) grows under different weather conditions directly affecting crop maturation. Raw material quality predicting models are important tools in sugarcane crop management; the goal of these models is to provide productivity estimates during harvesting, increasing the efficiency of strategical and administrative decisions. The objective of this work was developing a model to predict Total Recoverable Sugars (TRS) during harvesting, using data related to production factors such as soil water storage and negative degree-days. The database of a sugar mill for the cro

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22

BOUHENTALA, Abdelmalik, and Mohamed Salah BENBOUZA. "New approach for estimate parameters of machine asynchronous." IOSR Journal of Electrical and Electronics Engineering 9, no. 3 (2014): 28–32. http://dx.doi.org/10.9790/1676-09342832.

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23

Kumar, Arjun, Ashwani Kumar, Himanshu Mittal, Ashok Kumar, and Rakhi Bhardwaj. "Software to Estimate Earthquake Spectral and Source Parameters." International Journal of Geosciences 03, no. 05 (2012): 1142–49. http://dx.doi.org/10.4236/ijg.2012.35116.

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24

Matias, Filipe Inácio, Sanzio Carvalho Lima Barrios, Cacilda Borges do Valle, Rogério Gonçalves Mateus, Lucas Bearari Martins, and Gustavo Vitti Moro. "Estimate of genetic parameters in Brachiaria decumbens hybrids." Crop Breeding and Applied Biotechnology 16, no. 2 (2016): 115–22. http://dx.doi.org/10.1590/1984-70332016v16n2a18.

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25

Amry, Zul. "Bayesian Estimate of Parameters for ARMA Model Forecasting." Tatra Mountains Mathematical Publications 75, no. 1 (2020): 23–32. http://dx.doi.org/10.2478/tmmp-2020-0002.

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AbstractThis paper presents a Bayesian approach to finding the Bayes estimator of parameters for ARMA model forecasting under normal-gamma prior assumption with a quadratic loss function in mathematical expression. Obtaining the conditional posterior predictive density is based on the normal-gamma prior and the conditional predictive density, whereas its marginal conditional posterior predictive density is obtained using the conditional posterior predictive density. Furthermore, the Bayes estimator of parameters is derived from the marginal conditional posterior predictive density.

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26

Plessix, Rene-Edouard, and Jonathan Bork. "Quantitative estimate of VTI parameters from AVA responses." Geophysical Prospecting 48, no. 1 (2000): 87–108. http://dx.doi.org/10.1046/j.1365-2478.2000.00175.x.

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27

Prlinčević, Bojan, and Zoran Milivojević. "Modelling and estimate of the LTWM noise parameters." IOP Conference Series: Materials Science and Engineering 878 (July 22, 2020): 012027. http://dx.doi.org/10.1088/1757-899x/878/1/012027.

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28

Rye, Barry J., and R. Michael Hardesty. "Estimate optimization parameters for incoherent backscatter heterodyne lidar." Applied Optics 36, no. 36 (1997): 9425. http://dx.doi.org/10.1364/ao.36.009425.

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29

Brown, Michael J. "Use of Stream Chemistry to Estimate Hydrologic Parameters." Water Resources Research 22, no. 5 (1986): 805–11. http://dx.doi.org/10.1029/wr022i005p00805.

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30

Urtiew, P. A., and B. Hayes. "Empirical estimate of detonation parameters in condensed explosives." Journal of Energetic Materials 9, no. 4 (1991): 297–317. http://dx.doi.org/10.1080/07370659108018630.

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31

Goudarzi, Mohammad Ali, Marc Cocard, and Rock Santerre. "EPC: Matlab software to estimate Euler pole parameters." GPS Solutions 18, no. 1 (2013): 153–62. http://dx.doi.org/10.1007/s10291-013-0354-4.

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Kuznetsov, A. P. "An express-estimate of the rail accelerator parameters." Journal of Applied Mechanics and Technical Physics 31, no. 3 (1991): 440–46. http://dx.doi.org/10.1007/bf00864578.

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33

Sumair, Muhammad, Tauseef Aized, Syed Asad Raza Gardezi, Syed Ubaid ur Rehman, and Syed Muhammad Sohail Rehman. "A novel method developed to estimate Weibull parameters." Energy Reports 6 (November 2020): 1715–33. http://dx.doi.org/10.1016/j.egyr.2020.06.017.

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34

Hadorn, David, Giorgi Kvizhinadze, Lucie Collinson, and Tony Blakely. "USEOF EXPERT KNOWLEDGE ELICITATION TO ESTIMATE PARAMETERS IN HEALTH ECONOMIC DECISION MODELS." International Journal of Technology Assessment in Health Care 30, no. 4 (2014): 461–68. http://dx.doi.org/10.1017/s0266462314000427.

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Objectives: The aim of this study was to determine the prevalence and methods of expert knowledge elicitation (EKE) for specifying input parameters in health economic decision models (HEDM).Methods: We created two samples using the National Health System Economic Evaluations Database: (1) 100 randomly selected HEDM studies to determine prevalence of EKE and (2) sixty studies using a formal EKE process to determine methods used.Results: Fifty-seven (57 percent) of the random sample included at least one EKE-derived parameter. Of these, six (10 percent) used a formal expert process. Thirty-four

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Senousy, Hamada, and Mahmoud Abou-Elmakarem. "A flexible system for initial ship design parameters estimation using a system of neural networks." Journal of Naval Architecture and Marine Engineering 8, no. 2 (2011): 71–82. http://dx.doi.org/10.3329/jname.v8i2.6945.

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To initialize ship design process, it is very important to be able to develop an initial estimate of ship parameters to satisfy designer required specifications. For new emerging designs, this estimate has to be made based on a limited available set of examples. Moreover, a practical estimate prediction strategy should be flexible enough having no distinction between input (specified constraints) and outputs (parameters required to be estimated), since these vary from one design case to another. Conventional regression-based techniques, which are usually employed to provide the required estima

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Skopintseva, Lyubov, and Alexey Stovas. "Overburden dependent AVA inversion." GEOPHYSICS 75, no. 2 (2010): C15—C23. http://dx.doi.org/10.1190/1.3332529.

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Amplitude-variation-with-offset (AVO) analysis is strongly dependent on interpretation of the estimated traveltime parameters. In practice, we can estimate two or three traveltime parameters that require interpretation within the families of two- or three-parameter velocity models, respectively. Increasing the number of model parameters improves the quality of overburden description and reduces errors in AVO analysis. We have analyzed the effect of two- and three-parameter velocity model interpretation for the overburden on AVO data and have developed error estimates in the reservoir parameter

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Rönnberg-Wästljung, Ann Christin, Urban Gullberg, and Christina Nilsson. "Genetic parameters of growth characters in Salixviminalis grown in Sweden." Canadian Journal of Forest Research 24, no. 9 (1994): 1960–69. http://dx.doi.org/10.1139/x94-251.

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Forty families of Salixviminalis L. from an eight by eight factorial crossing were planted in contrasting environments to estimate genetic additive, dominance, and epistatic variances and to estimate the impact of genotype–environment interaction. From each family, 14 seed plants were vegetatively propagated. The material was planted in two contrasting soils, heavy clay soil and sandy soil, and in two contrasting nutrient availabilities, high and low. The nutrient experiment was harvested annually for 3 years. The clay–sand experiment was harvested in the 1st, 4th, and 6th year. Height, diamet

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Boujenane, I., M. Kerfal, and M. Khallouk. "Genetic and phenotypic parameters for litter traits of D'Man ewes." Animal Science 52, no. 1 (1991): 127–32. http://dx.doi.org/10.1017/s0003356100005754.

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ABSTRACTA total of 1754 records for litter traits of 458 D'man ewes sired by more than 45 rams were analysed to estimate repeatability, heritability and genetic and phenotypic correlations. Repeatability estimated by the intraclass correlation method was 0·11, 0·11, 0·12 and 0·15 for litter sizes at birth and at weaning and litter weights at birth and at weaning, respectively. Paternal half-sib estimates of heritability were 0·09 (s.e. 0·06), 0·04 (s.e. 0·05), 0·15 (s.e. 0·07) and 0·08 (s.e. 0·05), respectively. Genetic correlations among the traits were all positive and varied from 0·17 to 0·

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Zhou, Shijie, Sarah Martin, Dan Fu, and Rishi Sharma. "A Bayesian hierarchical approach to estimate growth parameters from length data of narrow spread." ICES Journal of Marine Science 77, no. 2 (2019): 613–23. http://dx.doi.org/10.1093/icesjms/fsz241.

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Abstract Estimating fish growth from length frequency data is challenging. There is often a lack of clearly separated modes and modal progression in the length samples due to a combination of factors, including gear selectivity, slowing growth with increasing age, and spatial segregation of different year classes. In this study, we present an innovative Bayesian hierarchical model (BHM) that enables growth to be estimated where there are few distinguishable length modes in the samples. We analyse and identify the modes in multiple length frequency strata using a multinormal mixture model and t

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Larasati, Larasati, Rudi Ruswandi, and Fitriani Fitriani. "Confidence interval estimation of gamma distribution lifetime data using score and bootstrap methods." Desimal: Jurnal Matematika 4, no. 1 (2021): 93–100. http://dx.doi.org/10.24042/djm.v4i1.7737.

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Confidence interval estimation of parameters determines the value interval, which is calculated based on statistical measurements and has specific estimates probability that contains the actual parameters. A method is needed to estimate the parameters' confidence interval, and the methods used are the Score method and the Bootstrap method. This study aims to estimate parameters by using the maximum likelihood estimation method and analyze the reliability of the aircraft engine cooling system's lifetime that follows the Gamma Distribution, and estimate the confidence interval of the parameters.

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Hahn, Jinyong, Zhipeng Liao, and Geert Ridder. "NONPARAMETRIC TWO-STEP SIEVE M ESTIMATION AND INFERENCE." Econometric Theory 34, no. 6 (2018): 1281–324. http://dx.doi.org/10.1017/s0266466618000014.

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This article studies two-step sieve M estimation of general semi/nonparametric models, where the second step involves sieve estimation of unknown functions that may use the nonparametric estimates from the first step as inputs, and the parameters of interest are functionals of unknown functions estimated in both steps. We establish the asymptotic normality of the plug-in two-step sieve M estimate of a functional that could be root-n estimable. The asymptotic variance may not have a closed form expression, but can be approximated by a sieve variance that characterizes the effect of the first-st

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Lopez, Bryan Irvine, Ju-Hwan Son, Kangseok Seo, and Dajeong Lim. "Estimation of Genetic Parameters for Reproductive Traits in Hanwoo (Korean Cattle)." Animals 9, no. 10 (2019): 715. http://dx.doi.org/10.3390/ani9100715.

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Genetic parameters for the reproductive traits of Hanwoo cattle were estimated using data obtained from 15,355 cows in 92 herds across South Korea, which were inseminated from May 1997 to July 2016. An “average information” restricted maximum likelihood (REML) procedure that fit in single-trait and multi-trait animal models was used to estimate the variance components of age at first calving (AFC), calving interval (CI), days open (DO), and gestation length (GL). Results showed the low estimates of heritability for all reproductive traits from both single-trait and multi-trait models. Estimate

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Saxena, Nitin Kumar, and Ashwani Kumar. "Analytical approach to estimate mechanical parameters in induction machine using transient response parameters." International Transactions on Electrical Energy Systems 29, no. 3 (2018): e2751. http://dx.doi.org/10.1002/etep.2751.

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Deacon, N. R., Th Henning, and D. E. Kossakowski. "Data-driven stellar parameters for southern TESS FGK targets." Monthly Notices of the Royal Astronomical Society 486, no. 1 (2019): 251–65. http://dx.doi.org/10.1093/mnras/stz722.

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Abstract We present stellar parameter estimates for 939 457 southern FGK stars that are candidate targets for the Transiting Exoplanet Survey Satellite (TESS) mission. Using a data-driven method similar to the CANNON, we build a model of stellar colours as a function of stellar parameters. We then use these in combination with stellar evolution models to estimate the effective temperature, gravity, metallicity, mass, radius, and extinction for our selected targets. Our effective temperature estimates compare well with those from spectroscopic surveys and the addition of Gaia DR2 parallaxes all

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Ben Zaabza, Hafedh, Abderrahmen Ben Gara, Hedi Hammami, Borni Jemmali, Mohamed Amine Ferchichi, and Boulbaba Rekik. "Genetic parameters of reproductive traits in Tunisian Holsteins." Archives Animal Breeding 59, no. 2 (2016): 209–13. http://dx.doi.org/10.5194/aab-59-209-2016.

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Abstract. Multi-trait Bayesian procedure was used to estimate genetic parameters for reproductive traits in Tunisian Holstein cows. A total of 31 348 lactations of the calving years 2005 to 2012 were analyzed. Fertility traits were the calving interval (CI), days open (DO), days to first insemination (DFI), days from first insemination to conception (FIC), and number of inseminations per conception (NI). Posterior means of heritabilities of CI, DO, DFI, FIC, and NI were 0.047, 0.03, 0.025, 0.024, and 0.069, respectively. Posterior means of repeatabilities of the same respective traits were 0.1

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Singh, Ravi Shankar, Helko van den Brom, Stanislav Babaev, Sjef Cobben, and Vladimir Ćuk. "Estimation of Impedance and Susceptance Parameters of a 3-Phase Cable System Using PMU Data." Energies 12, no. 23 (2019): 4573. http://dx.doi.org/10.3390/en12234573.

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This paper proposes a new regression-based method to estimate resistance, reactance, and susceptance parameters of a 3-phase cable segment using phasor measurement unit (PMU) data. The novelty of this method is that it gives accurate parameter estimates in the presence of unknown bias errors in the measurements. Bias errors are fixed errors present in the measurement equipment and have been neglected in previous such attempts of estimating parameters of a 3-phase line or cable segment. In power system networks, the sensors used for current and voltage measurements have inherent magnitude and p

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Fernandes, Fabiano A. N., Francisco E. Linhares-Junior, and Samuel J. M. Cartaxo. "Prediction of Fischer–Tropsch Synthesis Kinetic Parameters Using Neural Networks." Chemical Product and Process Modeling 9, no. 2 (2014): 97–103. http://dx.doi.org/10.1515/cppm-2013-0048.

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Abstract The kinetic mechanism of the Fischer–Tropsch synthesis (FTS) is complex resembling a polymerization reaction. The kinetic rate constants for initiation, propagation and termination steps and the constants for the equilibrium reactions for methylene formation (in situ monomer) need to be estimated. A mathematical model for the FTS allows for simulating several operating conditions and determining the best operating conditions to produce a specific product distribution, so the kinetic parameters must be statistically valid. This work used neural networks (NNs) to estimate the FTS kineti

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Bellsky, Thomas, Jesse Berwald, and Lewis Mitchell. "Nonglobal Parameter Estimation Using Local Ensemble Kalman Filtering." Monthly Weather Review 142, no. 6 (2014): 2150–64. http://dx.doi.org/10.1175/mwr-d-13-00200.1.

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Abstract The authors study parameter estimation for nonglobal parameters in a low-dimensional chaotic model using the local ensemble transform Kalman filter (LETKF). By modifying existing techniques for using observational data to estimate global parameters, they present a methodology whereby spatially varying parameters can be estimated using observations only within a localized region of space. Taking a low-dimensional nonlinear chaotic conceptual model for atmospheric dynamics as a numerical test bed, the authors show that this parameter estimation methodology accurately estimates parameter

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Dumedah, Gift, and Paulin Coulibaly. "Examining differences in streamflow estimation for gauged and ungauged catchments using evolutionary data assimilation." Journal of Hydroinformatics 16, no. 2 (2013): 392–406. http://dx.doi.org/10.2166/hydro.2013.193.

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Data assimilation has allowed hydrologists to account for imperfections in observations and uncertainties in model estimates. Typically, updated members are determined as a compromised merger between observations and model predictions. The merging procedure is conducted in decision space before model parameters are updated to reflect the assimilation. However, given the dynamics between states and model parameters, there is limited guarantee that when updated parameters are applied into measurement models, the resulting estimate will be the same as the updated estimate. To account for these ch

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Pelayo, Rocío, Manuel Ramón, Itsasne Granado-Tajada, et al. "Estimation of the Genetic Parameters for Semen Traits in Spanish Dairy Sheep." Animals 9, no. 12 (2019): 1147. http://dx.doi.org/10.3390/ani9121147.

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This work aimed to estimate genetic parameters for traits related to semen production and quality in Spanish dairy sheep breeds. For that, ejaculates of rams from Assaf, Churra, Latxa Cara Negra, Latxa Cara Rubia, and Manchega breeds were analyzed to measure volume, semen concentration, and motility. Estimates of variance components were obtained with multiple-trait animal models using the average information REML method in the BLUPF90 family of programs. Repeatability estimates for all the traits were also calculated, with values ranging from 0.077 to 0.304 for the motility and the semen conc

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