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Probability & statistics for economists /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probability & statistics for economists /Bruce E. Hansen.
其他題名:	Probability and statistics for economists
作者:	Hansen, Bruce E.,
出版者:	Princeton :Princeton University Press,c2022.
面頁冊數:	xxiii, 385 p. :ill. ;27 cm.
標題:	Econometrics.
ISBN:	9780691235943 :

Probability & statistics for economists /
Hansen, Bruce E.,1962-

Probability & statistics for economists /Probability and statistics for economistsBruce E. Hansen. - Princeton :Princeton University Press,c2022. - xxiii, 385 p. :ill. ;27 cm.

Includes bibliographical references (p. 377-378) and index.

1. Basic probability theory -- 2. Random variables -- 3. Parametric distributions -- 4. Multivariate distributions -- 5. Normal and related distributions -- 6. Sampling -- 7. Law of large numbers -- 8. Central limit theory -- 9. Advanced asymptotic theory -- 10. Maximum likelihood estimation -- 11. Method of moments -- 12. Numerical optimization -- 13. Hypothesis testing -- 14. Confidence intervals -- 15. Shrinkage estimation -- 16. Bayesian methods -- 17. Nonparametric density estimation --18. Empirical process theory -- Appendix: Mathematics reference.

"A comprehensive introduction to probability and statistics through the perspective of applying it to economic analysis"--

ISBN: 9780691235943 :NT$1747

LCCN: 2021049277

Nat. Bib. No.: GBC2B0124bnb

Nat. Bib. Agency Control No.: 020658866UkSubjects--Topical Terms:

182271
Econometrics.

LC Class. No.: HB139 / .H3638 2022

Dewey Class. No.: 330.01/5195

Probability & statistics for economists /
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246 3 $a Probability and statistics for economists
260 $a Princeton : $b Princeton University Press, $c c2022.
300 $a xxiii, 385 p. : $b ill. ; $c 27 cm.
504 $a Includes bibliographical references (p. 377-378) and index.
505 0 $a 1. Basic probability theory -- 2. Random variables -- 3. Parametric distributions -- 4. Multivariate distributions -- 5. Normal and related distributions -- 6. Sampling -- 7. Law of large numbers -- 8. Central limit theory -- 9. Advanced asymptotic theory -- 10. Maximum likelihood estimation -- 11. Method of moments -- 12. Numerical optimization -- 13. Hypothesis testing -- 14. Confidence intervals -- 15. Shrinkage estimation -- 16. Bayesian methods -- 17. Nonparametric density estimation --18. Empirical process theory -- Appendix: Mathematics reference.
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