From finite sample to asymptotic methods in statistics /:
"Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
©2010.
|
| Schriftenreihe: | Cambridge series on statistical and probabilistic mathematics.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a reference for academic researchers"--Provided by publisher |
| Beschreibung: | 1 online resource (xii, 386 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 375-379) and index. |
| ISBN: | 0511639457 9780511639456 9780511641893 0511641893 9780511806957 0511806957 1107210836 9781107210837 0511638388 9780511638381 0511640536 9780511640537 |
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| 504 | |a Includes bibliographical references (pages 375-379) and index. | ||
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| author | Sen, Pranab Kumar, 1937- |
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| contents | Motivation and basic tools -- Estimation theory -- Hypothesis testing -- Elements of statistical decision theory -- Stochastic processes: an overview -- Stochastic convergence and probability inequalities -- Asymptotic distributions -- Asymptotic behavior of estimators and tests -- Categorical data models -- Regression models -- Weak convergence and Gaussian processes. |
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| indexdate | 2024-11-27T13:16:56Z |
| institution | BVB |
| isbn | 0511639457 9780511639456 9780511641893 0511641893 9780511806957 0511806957 1107210836 9781107210837 0511638388 9780511638381 0511640536 9780511640537 |
| language | English |
| oclc_num | 507435966 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 386 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Cambridge University Press, |
| record_format | marc |
| series | Cambridge series on statistical and probabilistic mathematics. |
| series2 | Cambridge series in statistical and probabilistic mathematics |
| spelling | Sen, Pranab Kumar, 1937- http://id.loc.gov/authorities/names/n81024637 From finite sample to asymptotic methods in statistics / Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima. Cambridge ; New York : Cambridge University Press, ©2010. 1 online resource (xii, 386 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Cambridge series in statistical and probabilistic mathematics "Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes become larger, mathematical and computational difficulties can arise that require the use of approximate statistical methods. Such methods are justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this in perspective, this book presents a broad view of exact statistical inference and the development of asymptotic statistical inference, providing a justification for the use of asymptotic methods for large samples. Methodological results are developed on a concrete and yet rigorous mathematical level and are applied to a variety of problems that include categorical data, regression, and survival analyses. This book is designed as a textbook for advanced undergraduate or beginning graduate students in statistics, biostatistics, or applied statistics but may also be used as a reference for academic researchers"--Provided by publisher Includes bibliographical references (pages 375-379) and index. Motivation and basic tools -- Estimation theory -- Hypothesis testing -- Elements of statistical decision theory -- Stochastic processes: an overview -- Stochastic convergence and probability inequalities -- Asymptotic distributions -- Asymptotic behavior of estimators and tests -- Categorical data models -- Regression models -- Weak convergence and Gaussian processes. Print version record. English. Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Asymptotic expansions. http://id.loc.gov/authorities/subjects/sh85009056 Probability https://id.nlm.nih.gov/mesh/D011336 Probabilités. Théorie de l'estimation. Développements asymptotiques. probability. aat MATHEMATICS Probability & Statistics General. bisacsh Asymptotic expansions fast Estimation theory fast Mathematical statistics fast Probabilities fast Lehrbuch gnd Statistik gnd Electronic books. Singer, Julio da Motta, 1950- http://id.loc.gov/authorities/names/n83016403 Lima, Antonio C. Pedroso de, 1961- http://id.loc.gov/authorities/names/n2009053077 has work: From finite sample to asymptotic methods in statistics (Text) https://id.oclc.org/worldcat/entity/E39PCGcfwYv9dMBBMh8xhDTvHC https://id.oclc.org/worldcat/ontology/hasWork Print version: Sen, Pranab Kumar, 1937- From finite sample to asymptotic methods in statistics. Cambridge, UK ; New York : Cambridge University Press, 2010 9780521877220 (DLC) 2009034794 (OCoLC)435711040 Cambridge series on statistical and probabilistic mathematics. http://id.loc.gov/authorities/names/n96064948 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=304412 Volltext |
| spellingShingle | Sen, Pranab Kumar, 1937- From finite sample to asymptotic methods in statistics / Cambridge series on statistical and probabilistic mathematics. Motivation and basic tools -- Estimation theory -- Hypothesis testing -- Elements of statistical decision theory -- Stochastic processes: an overview -- Stochastic convergence and probability inequalities -- Asymptotic distributions -- Asymptotic behavior of estimators and tests -- Categorical data models -- Regression models -- Weak convergence and Gaussian processes. Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Asymptotic expansions. http://id.loc.gov/authorities/subjects/sh85009056 Probability https://id.nlm.nih.gov/mesh/D011336 Probabilités. Théorie de l'estimation. Développements asymptotiques. probability. aat MATHEMATICS Probability & Statistics General. bisacsh Asymptotic expansions fast Estimation theory fast Mathematical statistics fast Probabilities fast Lehrbuch gnd Statistik gnd |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85082133 http://id.loc.gov/authorities/subjects/sh85107090 http://id.loc.gov/authorities/subjects/sh85044957 http://id.loc.gov/authorities/subjects/sh85009056 https://id.nlm.nih.gov/mesh/D011336 |
| title | From finite sample to asymptotic methods in statistics / |
| title_auth | From finite sample to asymptotic methods in statistics / |
| title_exact_search | From finite sample to asymptotic methods in statistics / |
| title_full | From finite sample to asymptotic methods in statistics / Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima. |
| title_fullStr | From finite sample to asymptotic methods in statistics / Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima. |
| title_full_unstemmed | From finite sample to asymptotic methods in statistics / Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima. |
| title_short | From finite sample to asymptotic methods in statistics / |
| title_sort | from finite sample to asymptotic methods in statistics |
| topic | Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Probabilities. http://id.loc.gov/authorities/subjects/sh85107090 Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Asymptotic expansions. http://id.loc.gov/authorities/subjects/sh85009056 Probability https://id.nlm.nih.gov/mesh/D011336 Probabilités. Théorie de l'estimation. Développements asymptotiques. probability. aat MATHEMATICS Probability & Statistics General. bisacsh Asymptotic expansions fast Estimation theory fast Mathematical statistics fast Probabilities fast Lehrbuch gnd Statistik gnd |
| topic_facet | Mathematical statistics. Probabilities. Estimation theory. Asymptotic expansions. Probability Probabilités. Théorie de l'estimation. Développements asymptotiques. probability. MATHEMATICS Probability & Statistics General. Asymptotic expansions Estimation theory Mathematical statistics Probabilities Lehrbuch Statistik Electronic books. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=304412 |
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