A Brief Introduction and Overview of Applied Statistics

Keyword(s):  
1991 ◽  
Vol 36 (2) ◽  
pp. 168-168
Author(s):  
Lawrence J. Stricker

1982 ◽  
Vol 21 (1) ◽  
pp. 83-84
Author(s):  
Karol J. Krotki

The publication reviewed is number 9 in the series" Applied Statistics and Econometrics" edited by Gerhard Tintner, Pierre Desire Truonet, and Heinrich Strecker. The purpose of the series is to publish papers " too long for ordinary journal articles, but not long enough for books . ... . . Upon acceptance, speedy publication can be promised". The abstracts in English, French, and German, usual in this series, are missing from the copy reviewed. The book consists of ten chapters: sampling theory; multi -stage sampling and other fundamental problems; optimum stratification; variances; sampling with replacement and other theoretical issues; experimental design; information theory; a posteriori raising factors ; order statistics; Bayesian methods. Such an ambitious content within 130 pages requires parsimonious presentation. One chapter has been squeezed into hardly more than four pages. The chapter on a posteriori raising factors will be useful in developing countries and particularly when samples do not work out as designed. It will also be refreshing to those limited to the literature in the English language.


1970 ◽  
Vol 133 (3) ◽  
pp. 485
Author(s):  
R. G. Coyle ◽  
D. Croft
Keyword(s):  

1985 ◽  
Vol 10 (3) ◽  
pp. 283-292
Author(s):  
Clovis A. Peres ◽  
Pedro A. Morettin ◽  
Subhash C. Narula

A course on Applied Statistics, offered since 1978 at the Instituto de Matemática e Estatística, Universidade de São Paulo, Brasil, is designed to educate statisticians at the bachelor’s level for jobs in government statistical offices, industry, and business. Because most of the statistical work at these places is carried out by bachelor’s level individuals, such a course is almost mandatory for developing countries and may be useful for other countries. Our objective is to share our experience with the course.


2021 ◽  
Author(s):  
Paola Janßen

When dealing with experiential sentences in court, there is a risk of committing the probabilistic inverse fallacy, the swapping of conditional probabilities. Such a fallacy can be serious in legal decision making. Using empirical methods, the dissertation shows that this fallacy can be observed in civil procedural court decisions in which prima facie evidence is used and can have a significant impact on decision making. The dissertation was written at the Research Unit "Statistics in Court" of the Chair of Empirical Economic Research and Applied Statistics at the University of Bremen.


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