Probability Theory

A Primer

AvTamas Rudas,Tamas Rudas

Häftad, Engelska, 2004

Del 142 i serien Quantitative Applications in the Social Sciences

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Beskrivning

Aimed at demystifying probability theory, this text provides a brief and non-technical introduction to the subject. Employing few formulas, Rudas uses intuitive but precise descriptions and examples to explain procedures in probability as a springboard for understanding the concepts of expectation, variance, continuous distributions, normal distribution, chi-squared distribution, and the applications of probability theory in research practice. This book gives researchers and students a solid foundation for understanding probability, and can serve as a supplement in general statistics courses.

Produktinformation

Utgivningsdatum:2004-08-31
Mått:139 x 215 x 5 mm
Vikt:110 g
Format:Häftad
Språk:Engelska
Serie:Quantitative Applications in the Social Sciences
Antal sidor:80
Upplaga:1
Förlag:SAGE Publications
ISBN:9780761925064

Utforska kategorier

Sociologi inom Samhälle och politik

Mer om författaren

Tamas Rudas is the Head of the Department of Statistics and Dean of the Faculty of Social Sciences at Eotvos Lorand University (ELTE) in Budapest. He is also the Academic Director of the TARKI Social Research Centre. His main research area is statistics and its applications in the social sciences, especially the analysis of categorical data. He has published his work in many theoretical, applied, and methodological journals, including Annals of Statistics, Journal of the Royal Statistical Society, Sociological Methodology, Communication in Statistics, Journal of Educational and Behavioral Statistics, and Quality and Quantity. Dr. Rudas is also the author of Odds Ratios in the Analysis of Contingency Tables (Sage, 1998).

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Innehållsförteckning

INTRODUCTION WHERE DO PROBABILITIES COME FROM? DETERMINISTIC AND STOCHASTIC MODELS FREQUENTIST AND OTHER APPROACHES RELATIVE FREQUENCIES EXPERIMENTS WITH INFINITELY MANY OUTCOMES PROPERTIES OF PROBABILITY BASIC PROPERTIES ADDITIVITY DENSITY FUNCTIONS COUNTABLE ADDITIVITY PROBABILITY DISTRIBUTIONS AND RANDOM VARIABLES THE DISCRETE CASE THE BINOMIAL DISTRIBUTION THE CONTINUOUS CASE THE NORMAL DISTRIBUTION THE CHI-SQUARED DISTRIBUTION CONCLUSIONS NOTES REFERENCES ABOUT THE AUTHOR