Results 221 to 230 of about 1,015,610 (277)

Journal of Global Health's Guidelines for Reporting Analyses of Big Data Repositories Open to the Public (GRABDROP): preventing 'paper mills', duplicate publications, misuse of statistical inference, and inappropriate use of artificial intelligence. [PDF]

J Glob Health
Rudan I, Song P, Adeloye D, Campbell H.
europepmc   +1 more source

Statistical Inference

, 2017
openaire   +1 more source

Statistical inference and data analysis for inverted Kumaraswamy distribution based on maximum ranked set sampling with unequal samples. [PDF]

Sci Rep
Hassan AS, Atia SA.
europepmc   +1 more source

Statistical inference of entropy functions of generalized inverse exponential model under progressive type-II censoring test. [PDF]

PLoS One
Gong Q, Yin B.
europepmc   +1 more source

Equivariant estimation in the linear regression model(Statistical Conditional Inference and Its Related Topics)

, 2006
邦彦 辻, 昌文 赤平
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The Influence of Individual Differences on the Role of Information Quantity in Statistical Inferences

, 2007
Justin M. Gilkey, Richard B. Anderson, Micheal E. Doherty   +2 more
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Confidence intervals for the difference of means based on two independent samples (Large Deviation and Statistical Inference)

, 1998
昌文 赤平
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Inferring statistical complexity

Physical Review Letters, 1989
Statistical mechanics is used to describe the observed information processing complexity of nonlinear dynamical systems. We introduce a measure of complexity distinct from and dual to the information theoretic entropies and dimensions. A technique is presented that directly reconstructs minimal equations of motion from the recursive structure of ...
, Crutchfield, , Young
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Statistical Inference Techniques

2019
This chapter presents the most common and useful tests of hypothesis for bioinformatics applications. The hypothesis tests divide essentially into two categories: parametric and nonparametric. At the first category belong those tests based on the assumption of knowing the distribution of the sampling population(s) and inference is drawn on one or more ...
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Statistical models and statistical inference

1981
In the previous chapter we have seen how a simple statistical model can be fitted to data by estimating the unknown parameters and then making checks with residuals. After we have done this, various questions can be answered in terms of the fitted model.
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