Results 1 to 10 of about 936 (136)

Missing observations in regression: a conditional approach [PDF]

open access: yesRoyal Society Open Science, 2023
This note presents an alternative to multiple imputation and other approaches to regression analysis in the presence of missing covariate data. Our recommendation, based on factorial and fractional factorial arrangements, is more faithful to ancillarity ...
H. S. Battey, D. R. Cox
doaj   +2 more sources

Elucidating the foundations of statistical inference with 2 x 2 tables. [PDF]

open access: yesPLoS ONE, 2015
To many, the foundations of statistical inference are cryptic and irrelevant to routine statistical practice. The analysis of 2 x 2 contingency tables, omnipresent in the scientific literature, is a case in point.
Leena Choi   +2 more
doaj   +2 more sources

Relationships Between Self-Esteem and Personal Attributes, Income, Consumption, and Assets: Japanese Panel Study [PDF]

open access: yesEuropean Journal of Investigation in Health, Psychology and Education
Self-esteem is a key topic in psychology and health research. It influences well-being, happiness, and even medicine. However, existing studies on self-esteem have yielded conflicting results, suggesting that a global consensus remains elusive.
Makoto Nakakita   +4 more
doaj   +2 more sources

Combining Statistical Evidence When Evidence Is Measured by Relative Belief [PDF]

open access: yesEntropy
The problem of combining statistical evidence concerning an unknown, contained in each of the k Bayesian inference bases, is discussed. This can be considered as being related to the problem of pooling k priors to determine a consensus prior, but the ...
Michael Evans
doaj   +2 more sources

Dealing with Stochastic Volatility in Time Series Using the R Package stochvol [PDF]

open access: yesJournal of Statistical Software, 2016
The R package stochvol provides a fully Bayesian implementation of heteroskedasticity modeling within the framework of stochastic volatility. It utilizes Markov chain Monte Carlo (MCMC) samplers to conduct inference by obtaining draws from the posterior ...
Gregor Kastner
doaj   +4 more sources

Ignorability, Sufficiency and Ancillarity

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1997
Summary This paper explores the relationship between ignorability, sufficiency and ancillarity in the coarse data model of Heitjan and Rubin. Bayes or likelihood ignorability has a natural relationship to sufficiency, and frequentist ignorability an analogous relationship to ancillarity.
exaly   +3 more sources

A Second-Order Investigation of Asymptotic Ancillarity

open access: yesAnnals of Statistics, 1985
The paper deals with approximate ancillarity as discussed by \textit{B. Efron} and \textit{D. V. Hinkley} [Biometrika 65, 457-487 (1978; Zbl 0401.62002)]. In the multivariate i.i.d. case the second-order Edgeworth expansion of the MLE given a normalized version of the second derivative of the log-likelihood at its maximum is derived, which is a ...
Ib Michael M Skovgaard
exaly   +4 more sources

Fisher information, sufficiency, and ancillarity: some clarifications [PDF]

open access: yesMetron, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nitis Mukhopadhyay
exaly   +2 more sources

On the Concepts of Sufficiency and Ancillarity in the Presence of Nuisance Parameters

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1975
Summary Examples are presented to show how ambiguities may arise from attempts to define and apply analogues of sufficiency and ancillarity in the presence of nuisance parameters. It is necessary to tread with caution if one wishes to avoid inconsistencies or unexpected consequences inherent in principles which, on first acquaintance ...
exaly   +3 more sources

Asymptotic Ancillarity and Conditional Inference for Stochastic Processes

open access: yesAnnals of Statistics, 1992
The author aims to obtain limit theorems for the distributions of parameter estimators conditional on observed information. In greater generality, conditioning on any asymptotically ancillary statistic which includes data asymptotically equivalent to the observed information, is considered.
exaly   +3 more sources

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