Probability Theory and Statistical Applications: a Profound Treatise for Self-Study
Author:
Series:
Publisher:
De Gruyter
Pub. Date:
2016
Language:
English
Description
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. From the content: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.
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ISBN:
9783110402711
Staff View
Grouping Information
Grouped Work ID | 25cb108a-d701-8bb1-b430-f108beaca55a |
---|---|
Grouping Title | probability theory and statistical applications a profound treatise for self study |
Grouping Author | peter zornig |
Grouping Category | book |
Grouping Language | English (eng) |
Last Grouping Update | 2024-04-05 21:12:39PM |
Last Indexed | 2024-04-28 02:00:52AM |
Solr Fields
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author
Zörnig, Peter
author_display
Zörnig, Peter
display_description
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. From the content: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.
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eBook
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eBook
id
25cb108a-d701-8bb1-b430-f108beaca55a
isbn
9783110402711
last_indexed
2024-04-28T08:00:52.678Z
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literary_form
Non Fiction
literary_form_full
Non Fiction
primary_isbn
9783110402711
publishDate
2016
publisher
De Gruyter
recordtype
grouped_work
series
De Gruyter textbook
series_with_volume
De Gruyter textbook|
subject_facet
MATHEMATICS -- Applied
MATHEMATICS -- Probability & Statistics -- General
Mathematical statistics
Probabilités
Probabilities
Probability
Statistik
Wahrscheinlichkeitstheorie
probability
MATHEMATICS -- Probability & Statistics -- General
Mathematical statistics
Probabilités
Probabilities
Probability
Statistik
Wahrscheinlichkeitstheorie
probability
title_display
Probability Theory and Statistical Applications : a Profound Treatise for Self-Study
title_full
Probability Theory and Statistical Applications : a Profound Treatise for Self-Study Zörnig, Peter.
title_short
Probability Theory and Statistical Applications
title_sub
a Profound Treatise for Self-Study
topic_facet
Applied
General
MATHEMATICS
Mathematical statistics
Probabilités
Probabilities
Probability
Probability & Statistics
Statistik
Wahrscheinlichkeitstheorie
probability
General
MATHEMATICS
Mathematical statistics
Probabilités
Probabilities
Probability
Probability & Statistics
Statistik
Wahrscheinlichkeitstheorie
probability
Solr Details Tables
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ebscoccu:ocn954046743 | eBook | eBook | English | De Gruyter | 2016 | 1 online resource (294 pages) |
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