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Probability Theory and Statistical Applications: A Profound Treatise for Self-Study (De Gruyter Textbook) - Softcover
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Probability Theory And Statistical Applications : A Profound Treatise For Self-Study by Zörnig, Peter, 9783110363197, De Gruyter, 2016, Paperback
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This accessible and easy-to-read book provides many examples to illustrate diverse topics in probability and statistics, from initial concepts up to advanced calculations. Special attention is devoted e.g. to independency of events, inequalities in probability and functions of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to readers who need or want to learn by self-study. The author is convinced that sophisticated examples are more useful for the student than a lengthy formalism treating the greatest possible generality. Contents: Mathematics revision Introduction to probability Finite sample spaces Conditional probability and independence One-dimensional random variables Functions of random variables Bi-dimensional random variables Characteristics of random variables Discrete probability models Continuous probability models Generating functions in probability Sums of many random variables Samples and sampling distributions Estimation of parameters Hypothesis tests
Biografía del autor:
Peter Zoernig, University of Brasilia, Asa Norte, Brazil.
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- VerlagDe Gruyter
- Erscheinungsdatum2016
- ISBN 10 3110363194
- ISBN 13 9783110363197
- EinbandTapa blanda
- Anzahl der Seiten296
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Probability Theory and Statistical Applications : A Profound Treatise for Self-Study
Verlag:
De Gruyter Jul 2016
(2016)
ISBN 10: 3110363194
ISBN 13: 9783110363197
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Buchbeschreibung Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This accessible and easy-to-read book provides many examples to illustrate diverse topics in probability and statistics, from initial concepts up to advanced calculations. Special attention is devoted e.g. to independency of events, inequalities in probability and functions of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to readers who need or want to learn by self-study. The author is convinced that sophisticated examples are more useful for the student than a lengthy formalism treating the greatest possible generality. Contents:Mathematics revisionIntroduction to probabilityFinite sample spacesConditional probability and independenceOne-dimensional random variablesFunctions of random variablesBi-dimensional random variablesCharacteristics of random variablesDiscrete probability modelsContinuous probability modelsGenerating functions in probabilitySums of many random variablesSamples and sampling distributionsEstimation of parametersHypothesis tests. Artikel-Nr. 9783110363197
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