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Your search keyword '"Sample size determination"' showing total 3 results
Start Over Descriptor "Sample size determination" Search Limiters Available in Library Collection Topic statistics Journal statistics
3 results on '"Sample size determination"'

1. Variance estimation for tree-order restricted models

Author

Sanjay Chaudhuri and Antar Bandyopadhyay

Subjects
Statistics and Probability, media_common.quotation_subject, fungi, Estimator, Variance (accounting), respiratory system, Infinity, Law of total variance, One-way analysis of variance, Sample size determination, Statistics, Tree (set theory), Statistics, Probability and Uncertainty, Variance-based sensitivity analysis, Mathematics, media_common
Abstract

In this article, we discuss the estimation of the common variance of several normal populations with tree-order restricted means. We discuss the asymptotic properties of the maximum-likelihood estimator (MLE) of the variance as the number of populations tends to infinity. We consider several cases of various orders of the sample sizes and show that the MLE of the variance may or may not be consistent or be asymptotically normal.

Published
2013

2. On Nelson–Aalen type estimation in the partial Koziol–Green model

Author

M. Bhaskara Rao and Haimeng Zhang

Subjects
Statistics and Probability, Minimum-variance unbiased estimator, Efficient estimator, Bias of an estimator, Sample size determination, Statistics, Consistent estimator, Estimator, Statistics, Probability and Uncertainty, Type (model theory), Minimax estimator, Mathematics
Abstract

In this paper, a Nelson–Aalen (NA) type estimator is derived and its sample properties are compared with the partial Abdushukurov–Cheng–Lin (PACL), generalized maximum likelihood (GMLE), and Kaplan–Meier (KM) estimators under the partial Koziol–Green model. These comparisons are made through Monto Carlo simulations under various sample sizes. The results indicate that the NA estimator always performs better than the KM estimator and is competitive with other estimators. Moreover, the PACL, GMLE, and NA estimators are shown to be asymptotically equivalent.

Published
2010

3. Some asymptotic results in finite populations

Author

J. Rodrigues, S. Zacks, and H. Bolfarine

Subjects
Statistics and Probability, PLANEJAMENTO E ANÁLISE DE EXPERIMENTOS, education.field_of_study, Population size, Population, Asymptotic distribution, Asymptotic theory (statistics), Sample size determination, Consistency (statistics), Consistent estimator, Linear regression, Statistics, Statistics::Methodology, Quantitative Biology::Populations and Evolution, Statistics, Probability and Uncertainty, education, Mathematics
Abstract

In this paper we investigate limiting properties of predictors of some finite population quantities. Both, the sample size and the population size are considered to become large. Limiting properties like consistency and asymptotic normality of the best linear unbiased predictors of the population total and of the finite population regression coefficient are investigated.

Published
1993

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