소장자료
LDR | 03141nam a2200000 a | ||
001 | 0100431675▲ | ||
005 | 20191024105459▲ | ||
007 | ta ▲ | ||
008 | 180716s2018 nyu b 001 0 eng c▲ | ||
020 | ▼a9780521822886 (hbk.)▲ | ||
020 | ▼a9780521537452 (pbk.)▲ | ||
035 | ▼a(KERIS)REF000018742878▲ | ||
040 | ▼aDLC▼beng▼cDLC▼d221016▲ | ||
082 | 0 | 4 | ▼a519.5▼223▲ |
090 | ▼a519.5▼bA116s▲ | ||
100 | 1 | ▼aAbadir, Karim M.,▼d1964-▲ | |
245 | 1 | 0 | ▼aStatistics /▼cKarim M. Abadir, Risto D. H. Heijmans, Jan R. Magnus.▲ |
260 | ▼aNew York :▼bCambridge University Press,▼c2018.▲ | ||
300 | ▼axxviii, 762 p. ;▼c26 cm.▲ | ||
490 | 0 | ▼aEconometric exercises ;▼v2▲ | |
504 | ▼aIncludes bibliographical references and index.▲ | ||
505 | 8 | ▼aMachine generated contents note: Part I. Probability and Distribution Theory: 1. Probability; 2. Random variables, probability distributions and densities; 3. Expectations and their generating functions; 4. Special univariate distributions; 5. Joint distributions and densities; 6. Conditioning, dependence, and joint moments; 7. Functions of random variables; 8. The multivariate normal and functions thereof; Part II. Estimation and Inference: 9. Sample statistics and their distributions; 10. Asymptotic theory; 11. Principles of point estimation; 12. Likelihood, information, and maximum likelihood estimation; 13. Other methods of estimation; 14. Tests of hypotheses; Appendix A; Appendix B; Bibliography; Index.▲ | |
520 | ▼a"Building on the success of Abadir and Magnus' Matrix Algebra in the Econometric Exercises Series, Statistics serves as a bridge between elementary and specialized statistics. Professors Abadir, Heijmans, and Magnus freely use matrix algebra to cover intermediate to advanced material. Each chapter contains a general introduction followed by a series of connected exercises which build up knowledge systematically. The characteristic feature of the book (and indeed the series) is that all exercises are fully solved. The authors present many new proofs of established results, along with new results, often involving shortcuts that resort to statistical conditioning arguments"--Provided by publisher.▲ | ||
650 | 0 | ▼aEconometrics.▲ | |
650 | 0 | ▼aMathematical statistics.▲ | |
700 | 1 | ▼aHeijmans, Risto D. H.▲ | |
700 | 1 | ▼aMagnus, Jan R.▲ |
Statistics
자료유형
국외단행본
서명/책임사항
Statistics / Karim M. Abadir, Risto D. H. Heijmans, Jan R. Magnus.
발행사항
New York : Cambridge University Press , 2018.
형태사항
xxviii, 762 p. ; 26 cm.
총서사항
서지주기
Includes bibliographical references and index.
내용주기
Machine generated contents note: Part I. Probability and Distribution Theory: 1. Probability; 2. Random variables, probability distributions and densities; 3. Expectations and their generating functions; 4. Special univariate distributions; 5. Joint distributions and densities; 6. Conditioning, dependence, and joint moments; 7. Functions of random variables; 8. The multivariate normal and functions thereof; Part II. Estimation and Inference: 9. Sample statistics and their distributions; 10. Asymptotic theory; 11. Principles of point estimation; 12. Likelihood, information, and maximum likelihood estimation; 13. Other methods of estimation; 14. Tests of hypotheses; Appendix A; Appendix B; Bibliography; Index.
요약주기
"Building on the success of Abadir and Magnus' Matrix Algebra in the Econometric Exercises Series, Statistics serves as a bridge between elementary and specialized statistics. Professors Abadir, Heijmans, and Magnus freely use matrix algebra to cover intermediate to advanced material. Each chapter contains a general introduction followed by a series of connected exercises which build up knowledge systematically. The characteristic feature of the book (and indeed the series) is that all exercises are fully solved. The authors present many new proofs of established results, along with new results, often involving shortcuts that resort to statistical conditioning arguments"--Provided by publisher.
ISBN
9780521822886 (hbk.) 9780521537452 (pbk.)
청구기호
519.5 A116s
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