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Performa Restricted Maximum Likelihood and Maximum Likelihood Estimators on Small Area Estimation

Journal of Physics: Conference Series, 2018
In this paper, it was studied performance of maximum likelihood and restricted maximum likelihood method to estimate random factor on small area estimation. To evaluate of their performances, it was used mean square error as criteria. Based on data simulation, it was found that mean square error of restricted maximum likelihood estimator smaller than ...
Muhammad Nusrang, Suwardi Annas, null Asfar, null Jajang   +3 more
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Restricted Maximum Likelihood Method As An Alternative Parameter Estimation in Heteroscedastic Regression

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018
Students are part of the community who have an income. The income of students are pocket money, scholarships, part-time jobs and so forth. They are trying to become trendsetter in get dress and .
Dwi Masrokhah, Loekito Adi Soehono, Suci Astutik   +2 more
doaj   +1 more source

A Comparison Between Estimating The Parameters of The Gaussian Process Regression Model Using The Maximum Likelihood and The Restricted Maximum Likelihood Methods [PDF]

مجلة التربية والعلم
Gaussian process regression models are used as statistical representations of computational models, due to their flexibility in capturing the shape of smooth functions.
Amena ilyas, Younus Al-Taweel
doaj   +1 more source

Robust Restricted Maximum Likelihood in Mixed Linear Models

Biometrics, 1995
SUMMARY Definitions of robust maximum likelihood (robust ML) and robust restricted maximum likelihood (robust REML) are introduced, and the definitions are applied to data from biological and chemical experiments. A simulation study is undertaken to investigate the asymptotic properties of robust ML and robust REML in small samples and to examine the ...
Welsh, Alan, Richardson, Alice
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Optimal Designs For the Restricted Maximum Likelihood Estimators in a Random Split-Plot Model

Lithuanian Journal of Statistics, 2017
The design effect for the restricted maximum likelihood estimators of variance components in acompletely randomized split-plot model is studied. The model was used to represent the response generated froman experimental scenario where the whole-plot and
Oluwole Nuga, G. N. Amahia, Fatai Salami
doaj   +1 more source

Estimating the Economic Returns to Schooling: Restricted Maximum Likelihood Approach [PDF]

Statistika: Statistics and Economy Journal, 2017
The economic returns to schooling is a fundamental parameter of interest in many different areas of economics and public policy. The most common technique for estimating this parameter is based on the assumption that the ‘true’ coefficient of education ...
Adelaide Agyeman, Nicholas Nsowah-Nuamah
doaj  

Diagnostic techniques applied in geostatistics for agricultural data analysis Técnicas de diagnóstico utilizadas em geoestatística para análise de dados agrícolas

Revista Brasileira de Ciência do Solo, 2009
The structural modeling of spatial dependence, using a geostatistical approach, is an indispensable tool to determine parameters that define this structure, applied on interpolation of values at unsampled points by kriging techniques.
Joelmir André Borssoi, Miguel Angel Uribe-Opazo, Manuel Galea Rojas   +2 more
doaj   +1 more source

Performance of the No-U-Turn sampler in multi-trait variance component estimation using genomic data

Genetics Selection Evolution, 2022
Background Multi-trait genetic parameter estimation is an important topic for target traits with few records and with a low heritability and when the genetic correlation between target and secondary traits is strong.
Motohide Nishio, Aisaku Arakawa
doaj   +1 more source

Evaluation of models for estimation of genetic parameters for post-weaning body measurements and their association with yearling weight in Nellore sheep [PDF]

Animal Bioscience
Objective The objective of this study was to obtain (co) variance components and genetic parameter estimates for post-weaning body measurements such as body length (BL), height at withers (HW), and chest girth (HG) recorded at six (SBL, SHW, and SHG ...
Satish Kumar Illa, Gangaraju Gollamoori, Sapna Nath   +2 more
doaj   +1 more source

Maximum Likelihood and Restricted Likelihood Solutions in Multiple-Method Studies

Journal of Research of the National Institute of Standards and Technology, 2011
A formulation of the problem of combining data from several sources is discussed in terms of random effects models. The unknown measurement precision is assumed not to be the same for all methods. We investigate maximum likelihood solutions in this model.
openaire   +2 more sources