Canyon
发表于 2025-3-25 06:34:54
R. Grimshaw,K. W. Chow,H. N. Chanians, graduate students, and PhD (bio)statisticians. Knowledge in survival analysis at an introductory graduate level is advisable prior to reading this book..978-1-4939-4253-4978-1-4939-0005-3Series ISSN 1431-8776 Series E-ISSN 2197-5671
噱头
发表于 2025-3-25 10:02:19
Shalva Amiranashviliians, graduate students, and PhD (bio)statisticians. Knowledge in survival analysis at an introductory graduate level is advisable prior to reading this book..978-1-4939-4253-4978-1-4939-0005-3Series ISSN 1431-8776 Series E-ISSN 2197-5671
厌食症
发表于 2025-3-25 13:00:48
Lev Shemerd. I didn‘t like priors. I didn‘t like Bayesian statistics. But after the smoke had cleared, that was all that was left. Basu loves counterexamples. He is like 978-0-387-96751-6978-1-4612-3894-2Series ISSN 0930-0325 Series E-ISSN 2197-7186
cinder
发表于 2025-3-25 18:47:04
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歌剧等
发表于 2025-3-25 21:27:12
Jared C. Bronski,Vera Mikyoung Hur,Mathew A. Johnson an introductory course in probability is assumed, including the calculation and manipulation of probability functions and density functions, transformation of variables and the use of Jacobians. The author is a Distinguished Professor Emeritus of Statistics, University of Waterloo, and Professor of
Lime石灰
发表于 2025-3-26 02:49:29
Didier Clamond,Denys Dutykhies that are parameterized by a dependence parameter ϑ, where ϑ = 0 denotes independence of the marginal distributions. Under the general assumption of ..-differentiability at ϑ = 0 we calculate tangents of the underlying parametric families. For selected examples the optimal tests are calculated an
BIDE
发表于 2025-3-26 05:08:32
fitted in with contemporary statistics. As he looked at the fundamental ideas, the logic behind their use seemed to evaporate. I was shocked. I didn‘t like priors. I didn‘t like Bayesian statistics. But after the smoke had cleared, that was all that was left. Basu loves counterexamples. He is like
inspired
发表于 2025-3-26 09:15:03
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creditor
发表于 2025-3-26 15:41:22
Elena Tobischata. The study in this thesis can be divided into two parts. In the first part following Kuh (1959, 1963) we consider a regression equation with additional effects associated with both the time direction and cross-sectional units and develop efficient methods of estimating the parameters of that mod
得罪人
发表于 2025-3-26 19:52:58
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