1.

Record Nr.

UNISA996384197403316

Titolo

An epistle from our monethly meeting, at our publick meeting house in Reigate, in Surry, the 7th day of the 9th month, 1692 [[electronic resource]]

Pubbl/distr/stampa

[London, : s.n., 1692]

Descrizione fisica

8 p

Altri autori (Persone)

RiggeAmbrose <1635?-1705.>

Soggetti

Society of Friends - England - Surrey - History

Society of Friends

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Caption title.

At end: Written and signed in the behalf of the said meeting, by Ambrose Rigge.

Reproduction of original in Duke University Library.

Sommario/riassunto

eebo-0040



2.

Record Nr.

UNINA9910483487703321

Autore

Eshima Nobuoki

Titolo

Statistical Data Analysis and Entropy / / by Nobuoki Eshima

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-2552-8

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XI, 257 p. 43 illus.)

Collana

Behaviormetrics: Quantitative Approaches to Human Behavior, , 2524-4035 ; ; 3

Disciplina

519.5

Soggetti

Statistics

Social sciences - Statistical methods

Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences

Statistical Theory and Methods

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy

Statistics in Business, Management, Economics, Finance, Insurance

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Entropy and basic statistics -- Analysis of the association in two-way contingency tables -- Analysis of the association in multiway contingency tables -- Analysis of continuous variables.

Sommario/riassunto

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the



efficiency of test procedures in statistical tests of hypotheses using entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.