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精裝 (19)
作者

Karl E. Peace (EDT) (2)
Nitis Mukhopadhyay (2)
A. J. Lee (1)
Andre I. Khuri/ John A. Cornell (1)
Arjun K. Gupta (EDT)/ Saralees Nadarajah (EDT) (1)
Edwin L. Crow/ Kunio Shimizu (EDT) (1)
Frank B. Baker/ Seock-Ho Kim (1)
Henry C. Thode (1)
Joti Lal Jain/ Sri Gopal Mohanty/ Walter Bohm/ S. G. Mohanty (1)
Kamel Rekab/ Muzaffar Shaikh (1)
Kathleen Subrahmaniam (1)
Kevin Kim/ Neil H. Timm (1)
Michiko Watanabe (EDT)/ Kazunori Yamaguchi (EDT) (1)
Nitis Mukhopadhyay (EDT)/ Sujay Datta (EDT)/ Saibal Chattopadhyay (EDT) (1)
Robert M. Bethea/ Benjamin S. Duran/ Thomas L. Boullion (1)
Subrahmaniam Kocherlakota/ Kathleen Kocherlakota (1)
Takayuki Saito/ Hiroshi Yadohisa (1)
出版社/品牌

Taylor & Francis (11)
CRC Pr I Llc (7)
Marcel Dekker Inc (1)

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作者:Kamel Rekab; Muzaffar Shaikh  出版社:Taylor & Francis  出版日:2005/06/30 裝訂:精裝
In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Qua
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作者:Karl E. Peace (EDT)  出版社:CRC Pr I Llc  出版日:1990/03/01 裝訂:精裝
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作者:Edwin L. Crow; Kunio Shimizu (EDT)  出版社:CRC Pr I Llc  出版日:1988/01/01 裝訂:精裝
Presenting the first comprehensive review of the subject's theory and applications inmore than 15 years, this outstanding reference encompasses the most-up-to-date advancesin lognormal distributions i
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作者:Henry C. Thode  出版社:CRC Pr I Llc  出版日:2001/12/01 裝訂:精裝
For researchers with a minimal background in theoretical statistical, Thode (emergency medicine, State U. of New York-Stony Brook) presents goodness-of-fit tests that were designed to, or could be use
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作者:Kathleen Subrahmaniam  出版社:CRC Pr I Llc  出版日:1990/05/01 裝訂:精裝
Somewhat revised/expanded new edition of a problem-oriented introductory undergraduate text, the first edition of which appeared about a decade ago. The author writes with courteous clarity, and impos
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作者:Nitis Mukhopadhyay  出版社:Taylor & Francis  出版日:2006/02/08 裝訂:精裝
Designed for a one-semester, first-year graduate course in probability and statistical inference, this text will serve students in a variety of programs, including engineering, economics, agriculture,
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作者:Nitis Mukhopadhyay  出版社:Marcel Dekker Inc  出版日:2000/03/01 裝訂:精裝
Priced very competitively compared with other textbooks at this level!This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial
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作者:Michiko Watanabe (EDT); Kazunori Yamaguchi (EDT)  出版社:Taylor & Francis  出版日:2003/10/01 裝訂:精裝
Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete informa
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作者:Kevin Kim; Neil H. Timm  出版社:Taylor & Francis  出版日:2006/10/05 裝訂:精裝
Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses
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作者:Frank B. Baker; Seock-Ho Kim  出版社:Taylor & Francis  出版日:2004/07/15 裝訂:精裝
In this second edition of a reference/text, Baker (educational psychology, emeritus, University of Wisconsin-Madison) and Kim (educational psychology, University of Georgia) provide three new chapters
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作者:Karl E. Peace (EDT)  出版社:CRC Pr I Llc  出版日:1992/03/01 裝訂:精裝
Focusing on group sequential procedures, summarizes the sequential statistical methods used in anticancer, antiviral, cardiovascular, and gastrointestinal drug research and screening. The clinical and
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作者:Nitis Mukhopadhyay (EDT); Sujay Datta (EDT); Saibal Chattopadhyay (EDT)  出版社:CRC Pr I Llc  出版日:2004/01/01 裝訂:精裝
A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates inv
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作者:Arjun K. Gupta (EDT); Saralees Nadarajah (EDT)  出版社:Taylor & Francis  出版日:2004/06/01 裝訂:精裝
The flexible family of distributions has been used extensively in statistical theory and practice for over a century, but a broad detailed reference to it has not been produced until now. Specialists
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作者:Andre I. Khuri; John A. Cornell  出版社:Taylor & Francis  出版日:1996/08/01 裝訂:精裝
The Second Edition of this invaluable reference/text presents the latest techniques for designing experiments that yield adequate and reliable measurements of one or several responses of interest, fit
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作者:A. J. Lee  出版社:CRC Pr I Llc  出版日:1990/08/01 裝訂:精裝
In 1946 Paul Halmos studied unbiased estimators of minimum variance, and planted the seed from which the subject matter of the present monograph sprang. The author has undertaken to provide experts an
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作者:Joti Lal Jain; Sri Gopal Mohanty; Walter Bohm; S. G. Mohanty  出版社:Taylor & Francis  出版日:2006/07/21 裝訂:精裝
As science becomes increasingly interdisciplinary, researchers are finding that engineering has much to offer those working in such diverse fields as management science, communications as well as in t
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作者:Robert M. Bethea; Benjamin S. Duran; Thomas L. Boullion  出版社:Taylor & Francis  出版日:1995/03/01 裝訂:精裝
Requiring no previous statistical training, the Third Edition of this authoritative, practical text details the fundamentals of applied statistics and experimental design - presenting a unified approa
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作者:Takayuki Saito; Hiroshi Yadohisa  出版社:Taylor & Francis  出版日:2004/12/01 裝訂:精裝
The first reference of its kind, Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications - p
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作者:Subrahmaniam Kocherlakota; Kathleen Kocherlakota  出版社:Taylor & Francis  出版日:1992/05/01 裝訂:精裝
This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the literature- written in an accessible manner thatassumes no more than
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