Probability Theory and Statistical Applications : : A Profound Treatise for Self-Study / / Peter Zörnig.
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...
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2016] ©2016 |
| Year of Publication: | 2016 |
| Language: | English |
| Series: | De Gruyter Textbook
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| Physical Description: | 1 online resource (IX, 284 p.) |
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Zörnig, Peter, author. aut http://id.loc.gov/vocabulary/relators/aut Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / Peter Zörnig. Berlin ; Boston : De Gruyter, [2016] ©2016 1 online resource (IX, 284 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter Textbook Frontmatter -- Preface -- Contents -- 1. Mathematics revision -- 2. Introduction to probability -- 3. Finite sample spaces -- 4. Conditional probability and independence -- 5. One-dimensional random variables -- 6. Functions of random variables -- 7. Bi-dimensional random variables -- 8. Characteristics of random variables -- 9. Discrete probability models -- 10. Continuous probability models -- 11. Generating functions in probability -- 12. Sums of many random variables -- 13. Samples and sampling distributions -- 14. Estimation of parameters -- 15. Hypothesis tests -- Appendix -- References -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Mathematical statistics. Probabilities. Wahrscheinlichkeitstheorie. MATHEMATICS / Probability & Statistics / General. bisacsh Convergence of random variables. Generating functions. Order statistics. Probability measures. Statistical applications. Transforms of random variables. Univariate and multivariate models. Title is part of eBook package: De Gruyter DG Plus eBook-Package 2016 9783110701005 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2016 9783110485103 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Mathematics 2016 9783110485288 ZDB-23-DMA EPUB 9783110402834 print 9783110363197 https://doi.org/10.1515/9783110402711 https://www.degruyter.com/isbn/9783110402711 Cover https://www.degruyter.com/cover/covers/9783110402711.jpg |
| language |
English |
| format |
eBook |
| author |
Zörnig, Peter, Zörnig, Peter, |
| spellingShingle |
Zörnig, Peter, Zörnig, Peter, Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / De Gruyter Textbook Frontmatter -- Preface -- Contents -- 1. Mathematics revision -- 2. Introduction to probability -- 3. Finite sample spaces -- 4. Conditional probability and independence -- 5. One-dimensional random variables -- 6. Functions of random variables -- 7. Bi-dimensional random variables -- 8. Characteristics of random variables -- 9. Discrete probability models -- 10. Continuous probability models -- 11. Generating functions in probability -- 12. Sums of many random variables -- 13. Samples and sampling distributions -- 14. Estimation of parameters -- 15. Hypothesis tests -- Appendix -- References -- Index |
| author_facet |
Zörnig, Peter, Zörnig, Peter, |
| author_variant |
p z pz p z pz |
| author_role |
VerfasserIn VerfasserIn |
| author_sort |
Zörnig, Peter, |
| title |
Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / |
| title_sub |
A Profound Treatise for Self-Study / |
| title_full |
Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / Peter Zörnig. |
| title_fullStr |
Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / Peter Zörnig. |
| title_full_unstemmed |
Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / Peter Zörnig. |
| title_auth |
Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / |
| title_alt |
Frontmatter -- Preface -- Contents -- 1. Mathematics revision -- 2. Introduction to probability -- 3. Finite sample spaces -- 4. Conditional probability and independence -- 5. One-dimensional random variables -- 6. Functions of random variables -- 7. Bi-dimensional random variables -- 8. Characteristics of random variables -- 9. Discrete probability models -- 10. Continuous probability models -- 11. Generating functions in probability -- 12. Sums of many random variables -- 13. Samples and sampling distributions -- 14. Estimation of parameters -- 15. Hypothesis tests -- Appendix -- References -- Index |
| title_new |
Probability Theory and Statistical Applications : |
| title_sort |
probability theory and statistical applications : a profound treatise for self-study / |
| series |
De Gruyter Textbook |
| series2 |
De Gruyter Textbook |
| publisher |
De Gruyter, |
| publishDate |
2016 |
| physical |
1 online resource (IX, 284 p.) |
| contents |
Frontmatter -- Preface -- Contents -- 1. Mathematics revision -- 2. Introduction to probability -- 3. Finite sample spaces -- 4. Conditional probability and independence -- 5. One-dimensional random variables -- 6. Functions of random variables -- 7. Bi-dimensional random variables -- 8. Characteristics of random variables -- 9. Discrete probability models -- 10. Continuous probability models -- 11. Generating functions in probability -- 12. Sums of many random variables -- 13. Samples and sampling distributions -- 14. Estimation of parameters -- 15. Hypothesis tests -- Appendix -- References -- Index |
| isbn |
9783110402711 9783110701005 9783110485103 9783110485288 9783110402834 9783110363197 |
| url |
https://doi.org/10.1515/9783110402711 https://www.degruyter.com/isbn/9783110402711 https://www.degruyter.com/cover/covers/9783110402711.jpg |
| illustrated |
Not Illustrated |
| dewey-hundreds |
500 - Science |
| dewey-tens |
510 - Mathematics |
| dewey-ones |
510 - Mathematics |
| dewey-full |
510 |
| dewey-sort |
3510 |
| dewey-raw |
510 |
| dewey-search |
510 |
| doi_str_mv |
10.1515/9783110402711 |
| oclc_num |
953254678 |
| work_keys_str_mv |
AT zornigpeter probabilitytheoryandstatisticalapplicationsaprofoundtreatiseforselfstudy |
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(DE-B1597)443821 (OCoLC)953254678 |
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cr |
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Title is part of eBook package: De Gruyter DG Plus eBook-Package 2016 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2016 Title is part of eBook package: De Gruyter EBOOK PACKAGE Mathematics 2016 |
| is_hierarchy_title |
Probability Theory and Statistical Applications : A Profound Treatise for Self-Study / |
| container_title |
Title is part of eBook package: De Gruyter DG Plus eBook-Package 2016 |
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1770177585917984768 |
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