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:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Cambridge Univ. Press
2010
|
| Schriftenreihe: | Cambridge series in statistical and probabilistic mathematics
[29] |
| Schlagworte: | |
| Online-Zugang: | Cover image Inhaltsverzeichnis |
| 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: | XII, 386 S. |
| ISBN: | 9780521877220 |
Internformat
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Datensatz im Suchindex
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| adam_text | FROM FINITE SAMPLE TO ASYMPTOTIC METHODS IN STATISTICS
/ SEN, PRANAB KUMAR
: 2009
TABLE OF CONTENTS / INHALTSVERZEICHNIS
1. MOTIVATION AND BASIC TOOLS; 2. ESTIMATION THEORY; 3. HYPOTHESIS
TESTING; 4. ELEMENTS OF STATISTICAL DECISION THEORY; 5. STOCHASTIC
PROCESSES: AN OVERVIEW; 6. STOCHASTIC CONVERGENCE AND PROBABILITY
INEQUALITIES; 7. ASYMPTOTIC DISTRIBUTIONS; 8. ASYMPTOTIC BEHAVIOR OF
ESTIMATORS AND TESTS; 9. CATEGORICAL DATA MODELS; 10. REGRESSION MODELS;
11. WEAK CONVERGENCE AND GAUSSIAN PROCESSES.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
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| indexdate | 2024-07-09T22:08:47Z |
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| isbn | 9780521877220 |
| language | English |
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| physical | XII, 386 S. |
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| series | Cambridge series in statistical and probabilistic mathematics |
| series2 | Cambridge series in statistical and probabilistic mathematics |
| spelling | Sen, Pranab Kumar 1937- Verfasser (DE-588)124306942 aut From finite sample to asymptotic methods in statistics Pranab K. Sen ; , Julio M. Singer ; Antonio C. Pedroso de Lima New York Cambridge Univ. Press 2010 XII, 386 S. txt rdacontent n rdamedia nc rdacarrier Cambridge series in statistical and probabilistic mathematics [29] "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. Mathematical statistics Probabilities Estimation theory Asymptotic expansions Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Statistik (DE-588)4056995-0 s DE-604 Singer, Julio da Motta 1950- Verfasser (DE-588)12430690X aut Lima, Antonio C. Pedroso de Verfasser aut Cambridge series in statistical and probabilistic mathematics [29] (DE-604)BV011442366 29 http://assets.cambridge.org/97805218/77220/cover/9780521877220.jpg Cover image LoC Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018864204&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Sen, Pranab Kumar 1937- Singer, Julio da Motta 1950- Lima, Antonio C. Pedroso de From finite sample to asymptotic methods in statistics Cambridge series in statistical and probabilistic mathematics Mathematical statistics Probabilities Estimation theory Asymptotic expansions Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4123623-3 |
| 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 Probabilities Estimation theory Asymptotic expansions Statistik (DE-588)4056995-0 gnd |
| topic_facet | Mathematical statistics Probabilities Estimation theory Asymptotic expansions Statistik Lehrbuch |
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