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作者
Adrian E. Raftery (EDT)/ Martin A. Tanner (EDT)/ Martin T. Wells (EDT) （1）
Alan J. Miller （1）
Alan Welsh/ Suojin Wang （1）
Atanu Biswas （1）
B. Everitt/ D. J. Hand （1）
Barry C. Arnold （1）
Christopher Chatfield （1）
D. Hawkins （1）
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Hans van Houwelingen and Hein Putter （1）
Jin-ting Zhang （1）
Jiti Gao （1）
Mark Davis （1）
Michael J. Daniels/ Joseph W. Hogan （1）
Michael K. Murray/ John W. Rice （1）
Miquel A. Hernan/ James M. Robins （1）
Murray Aitkin （1）
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Taylor & Francis （10）
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CRC Press UK （3）
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共23筆商品，1/2頁
The Analysis of Time Series ― Theory and Practice
1.

The Analysis of Time Series ― Theory and Practice

作者：Christopher Chatfield  出版社：Springer Verlag  出版日：1975/01/01 裝訂：平裝
Time-series analysis is an area of statistics which is of particular interest at the present time. Time series arise in many different areas, ranging from marketing to oceanography, and the analysis o
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Likelihood Methods in Sample Surveys
2.

Likelihood Methods in Sample Surveys

作者：Alan Welsh; Suojin Wang  出版社：CRC Press UK  出版日：2012/05/15 裝訂：精裝
Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select
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Generalized Linear Models
3.

Generalized Linear Models

作者：P. McCullagh; J. A. Nelder  出版社：Chapman & Hall  出版日：1990/01/01 裝訂：平裝
The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types
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Robust Nonparametric Statistical Methods
4.

Robust Nonparametric Statistical Methods

作者：Thomas P. Hettmansperger; Joseph W. McKean  出版社：CRC Press UK  出版日：2010/12/22 裝訂：平裝
Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, mul
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Stochastic Modelling and Control
5.

Stochastic Modelling and Control

作者：Mark Davis  出版社：Springer  出版日：2012/02/13 裝訂：平裝
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Analysis of Variance for Functional Data
6.

Analysis of Variance for Functional Data

作者：Jin-ting Zhang  出版社：Taylor & Francis  出版日：2013/06/24 裝訂：精裝
Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date
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Models for Dependent Time Series
7.

Models for Dependent Time Series

作者：Granville T. Wilson; Marco Reale  出版社：Taylor & Francis  出版日：2015/06/01 裝訂：精裝
Authored by leading researchers in multivariate time series, this book introduces time series models based on lagged regression, particularly vector autoregressive models. It covers recent development
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Finite Mixture Distributions
8.

Finite Mixture Distributions

作者：B. Everitt; D. J. Hand  出版社：Springer Verlag  出版日：2011/10/05 裝訂：平裝
Finite mixture distributions arise in a variety of applications ranging from the length distribution of fish to the content of DNA in the nuclei of liver cells. The literature surrounding them is larg
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Statistical Inference: An Integrated Bayesian/Likelihood Approach
9.

Statistical Inference: An Integrated Bayesian/Likelihood Approach

作者：Murray Aitkin  出版社：Chapman & Hall  出版日：2010/06/01 裝訂：精裝
Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can
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Statistics in the 21st Century
10.

Statistics in the 21st Century

作者：Adrian E. Raftery (EDT); Martin A. Tanner (EDT); Martin T. Wells (EDT)  出版社：Chapman & Hall  出版日：2001/07/01 裝訂：平裝
Exactly what is the state of the art in statistics as we move forward into the 21st century? What promises, what trends does its future hold? Through the reflections of 70 of the world's leading stati
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Response-Adaptive Designs in Clinical Trials
11.

Response-Adaptive Designs in Clinical Trials

作者：Atanu Biswas  出版社：Chapman & Hall  出版日：2012/01/26 裝訂：平裝
Response-adaptive designs, which aim to reduce the number of patients receiving inferior treatments, are becoming increasingly popular in Phase III clinical trials. Written by leading experts, Respons
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Missing Data in Longitudinal Studies ─ Strategies for Bayesian Modeling and Sensitivity Analysis
12.

Missing Data in Longitudinal Studies ─ Strategies for Bayesian Modeling and Sensitivity Analysis

作者：Michael J. Daniels; Joseph W. Hogan  出版社：Chapman & Hall  出版日：2008/03/03 裝訂：精裝
Drawing from the authors’ own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a
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Dynamic Prediction in Clinical Survival Analysis
13.

Dynamic Prediction in Clinical Survival Analysis

作者：Hans van Houwelingen and Hein Putter  出版社：CRC Press UK  出版日：2011/12/02 裝訂：精裝
There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. C
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Accelerated Life Models ─ Modeling and Statistical Analysis
14.

Accelerated Life Models ─ Modeling and Statistical Analysis

作者：Vilijandas Bagdonavicius; M. S. Nikulin  出版社：Chapman & Hall  出版日：2001/11/01 裝訂：精裝
The authors of this monograph have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph
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Nonlinear Time Series ― Semiparametric and Nonparametric Methods
15.

Nonlinear Time Series ― Semiparametric and Nonparametric Methods

作者：Jiti Gao  出版社：Taylor & Francis  出版日：2007/03/21 裝訂：精裝
Although useful in the theoretical and empirical analysis of nonlinear time series data, recent research has shown that semiparametric methods may be applied to dimensionality problems arising from fu
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Subset Selection in Regression
16.

Subset Selection in Regression

作者：Alan J. Miller  出版社：Taylor & Francis  出版日：2002/04/01 裝訂：精裝
Miller (Commonwealth Scientific & Industrial Research Organization, Australia), focusing almost entirely on nonlinear regression, presents a monograph that collects what is known about estimation
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Differential Geometry and Statistics
17.

Differential Geometry and Statistics

作者：Michael K. Murray; John W. Rice  出版社：Taylor & Francis  出版日：1993/05/01 裝訂：精裝
Several years ago our statistical friends and relations introduced us to the work of Amari and Barndorff-Nielsen on applications of differential geometry to statistics. This book has arisen because we
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Causal Inference
90折
18.

Causal Inference

作者：Miquel A. Hernan; James M. Robins  出版社：Taylor & Francis  出版日：2013/06/15 裝訂：精裝
The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet ac
無庫存，下單後進貨(到貨天數約30-45天)
定價：2248 元， 優惠價：9 2023
The Theory of the Design of Experiments
19.

The Theory of the Design of Experiments

作者：D. R. Cox; N. Reid  出版社：Taylor & Francis  出版日：2000/06/01 裝訂：精裝
A textbook on the theoretical background of the statistical design of experiments in a range of sciences. Topics include avoidance of bias, control of haphazard variation, factorial designs, and optim
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Identification of Outliers
20.

Identification of Outliers

作者：D. Hawkins  出版社：Springer Verlag  出版日：2014/04/21 裝訂：平裝
The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area
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