
000 | 00000cam u22002057a 4500 | |
001 | 000046134553 | |
005 | 20221118174418 | |
008 | 221118s2010 nyua b 001 0 eng d | |
010 | ▼a 2010935925 | |
020 | ▼a 9780387938387 | |
020 | ▼a 0387938389 | |
020 | ▼a 9781461426707 (pbk.) | |
035 | ▼a (KERIS)REF000018970416 | |
040 | ▼a MUM ▼c MUM ▼d IXA ▼d CDX ▼d TTS ▼d DLC ▼d 211009 | |
042 | ▼a lccopycat | |
050 | 0 0 | ▼a QA276 ▼b .K246 2010 |
082 | 0 0 | ▼a 519.5 ▼2 23 |
084 | ▼a 519.5 ▼2 DDCK | |
090 | ▼a 519.5 ▼b K26t | |
100 | 1 | ▼a Keener, Robert W. |
245 | 1 0 | ▼a Theoretical statistics : ▼b topics for a core course / ▼c Robert W. Keener. |
260 | ▼a New York : ▼b Springer, ▼c 2010. | |
300 | ▼a xvii, 538 p. : ▼b ill. ; ▼c 24 cm. | |
490 | 1 | ▼a Springer texts in statistics, ▼x 1431-875X |
504 | ▼a Includes bibliographical references (p. [525]-529) and index. | |
505 | 0 | ▼a Probability and measure -- Exponential families -- Risk, sufficiency, completeness, and ancillarity -- Unbiased estimation -- Curved exponential families -- Conditional distributions -- Bayesian estimation -- Large-sample theory -- Estimating equations and maximum likelihood -- Equivariant estimation -- Empirical bayes and shrinkage estimators -- Hypothesis testing -- Optimal tests in higher dimensions -- General linear model -- Bayesian inference : modeling and computation -- Asymptotic optimality -- Large-sample theory for likelihood ratio tests -- Nonparametric regression -- Bootstrap methods -- Sequential methods -- Appendix 1: Functions -- Appendix 2: Topology and continuity in Rn -- Appendix 3: Vector spaces and the geometry of Rn -- Appendix 4: Manifolds and tangent spaces -- Appendix 5: Taylor expansion for functions of several variables -- Appendix 6: Inverting a partitioned matrix -- Appendix 7: Central limit theory -- Solutions. |
650 | 0 | ▼a Mathematical statistics. |
650 | 0 | ▼a Probabilities. |
830 | 0 | ▼a Springer texts in statistics. |
945 | ▼a ITMT |
소장정보
No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
---|---|---|---|---|---|---|---|
No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 519.5 K26t | 등록번호 111871555 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Probability and Measure.- Exponential Families.- Risk, Sufficiency, Completeness, and Ancillarity.- Unbiased Estimation.- Curved Exponential Families.- Conditional Distributions.- Bayesian Estimation.- Large-Sample Theory.- Estimating Equations and Maximum Likelihood.- Equivariant Estimation.- Empirical Bayes and Shrinkage Estimators.- Hypothesis Testing.- Optimal Tests in Higher Dimensions.- General Linear Model.- Bayesian Inference: Modeling and Computation.- Asymptotic Optimality1.- Large-Sample Theory for Likelihood Ratio Tests.- Nonparametric Regression.- Bootstrap Methods.- Sequential Methods.