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Statistical Analysis of Environmental Space-Time Processes
1.

Statistical Analysis of Environmental Space-Time Processes

作者：Nhu D. Le; James V. Zidek  出版社：Springer Verlag  出版日：2006/05/30 裝訂：精裝
This book provides a broad introduction to the fascinating subject of environmental space-time processes; addressing the role of uncertainty. Within that context, it covers a spectrum of technical ma
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Dynamic Mixed Models for Familial Longitudinal Data
2.

Dynamic Mixed Models for Familial Longitudinal Data

作者：Brajendra C. Sutradhar  出版社：Springer Verlag  出版日：2011/02/03 裝訂：精裝
This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correla
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Exact Statistical Methods for Data Analysis
90折
3.

Exact Statistical Methods for Data Analysis

作者：Samaradasa Weerahandi  出版社：Springer Verlag  出版日：2003/10/01 裝訂：平裝
Now available in paperback, this book covers some recent developments in statistical inference. It provides methods applicable in problems involving nuisance parameters such as those encountered in co
定價：3500 元， 優惠價：9 3150
無庫存，下單後進貨(到貨天數約45天)
Bayesian and Frequentist Regression Methods
4.

Bayesian and Frequentist Regression Methods

作者：Jon Wakefield  出版社：Springer Verlag  出版日：2013/01/03 裝訂：精裝
This book provides a balanced, modern introduction to Bayesian and frequentist methods for regression analysis. The author discusses Frequentist and Bayesian Inferences; Linear Models; Binary Data Mod
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Statistical Learning from a Regression Perspective
5.

Statistical Learning from a Regression Perspective

作者：Richard A. Berk  出版社：Springer Verlag  出版日：2008/08/01 裝訂：平裝
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors
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Analysis of Neural Data
6.

Analysis of Neural Data

作者：Robert E. Kass; Uri Eden; Emery N. Brown  出版社：Springer Verlag  出版日：2014/01/31 裝訂：精裝
Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles
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Scan Statistics
7.

Scan Statistics

作者：Joseph Glaz; Joseph I. Naus; Sylvan Wallenstein  出版社：Springer Verlag  出版日：2001/09/01 裝訂：精裝
In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed clu
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The Science of Bradley Efron ― Selected Papers
8.

The Science of Bradley Efron ― Selected Papers

作者：Carl N. Morris (EDT); Robert Tibshirani (EDT)  出版社：Springer Verlag  出版日：2008/04/03 裝訂：精裝
This volume includes 21 journal articles by renowned statistician Bradley Efron. Each article is introduced by a well-known statistician. The volume also includes a very useful index, Professor Efron’
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Introduction to Rare Event Simulation
9.

Introduction to Rare Event Simulation

作者：James Antonio Bucklew  出版社：Springer Verlag  出版日：2004/03/11 裝訂：精裝
This book presents a unified theory of rare event simulation and the variance reduction technique known as importance sampling from the point of view of the probabilistic theory of large deviations. I
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Monte Carlo Methods in Bayesian Computation
10.

Monte Carlo Methods in Bayesian Computation

作者：Ming-Hui Chen; Qi-Man Shao; Joseph George Ibrahim  出版社：Springer Verlag  出版日：2000/01/01 裝訂：精裝
Dealing with methods for sampling from posterior distributions and how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples, this book addresses such topics as imp
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Elements of Multivariate Time Series Analysis
90折
11.

Elements of Multivariate Time Series Analysis

作者：Gregory C. Reinsel  出版社：Springer Verlag  出版日：2003/11/01 裝訂：平裝
Now available in paperback, this book introduces basic concepts and methods useful in the analysis and modeling of multivariate time series data. It concentrates on the time-domain analysis of multiva
定價：3500 元， 優惠價：9 3150
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Statistics for High-dimensional Data ― Methods, Theory and Applications
12.

Statistics for High-dimensional Data ― Methods, Theory and Applications

作者：Peter B?▍mann; Sara Van De Geer  出版社：Springer Verlag  出版日：2013/08/03 裝訂：平裝
Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches,
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Statistical Demography And Forecasting
13.

Statistical Demography And Forecasting

作者：Juha M. Alho; Bruce D. Spencer  出版社：Springer Verlag  出版日：2005/07/01 裝訂：平裝
Sustainability of pension systems, intergeneration fiscal equity under population aging, and accounting for health care benefits for future retirees are examples of problems that cannot be solved with
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The Bootstrap and Edgeworth Expansion
14.

The Bootstrap and Edgeworth Expansion

作者：Peter Hall  出版社：Springer Verlag  出版日：1995/08/01 裝訂：平裝
This monograph addresses two quite different topics, each being able to shed light on the other. Firstly, it lays the foundation for a particular view of the bootstrap. Secondly, it gives an account o
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Bayesian Forecasting and Dynamic Models
15.

Bayesian Forecasting and Dynamic Models

作者：Mike West; Jeff Harrison  出版社：Springer Verlag  出版日：2013/03/08 裝訂：平裝
This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and ti
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Nonparametric Functional Data Analysis ― Theory And Practice
16.

Nonparametric Functional Data Analysis ― Theory And Practice

作者：Frederic Ferraty; Philippe Vieu  出版社：Springer Verlag  出版日：2006/07/30 裝訂：精裝
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This
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Fitting Linear Relationships ― A History of the Calculus of Observations 1750-1900
17.

Fitting Linear Relationships ― A History of the Calculus of Observations 1750-1900

作者：R. W. Farebrother  出版社：Springer Verlag  出版日：1999/01/01 裝訂：精裝
This book describes the development of statistics, which for more than a century was called "the calculus of observations." The approach will help readers gain a clearer understanding of the historica
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Comparing Distributions
18.

Comparing Distributions

作者：Olivier Thas  出版社：Springer Verlag  出版日：2012/02/25 裝訂：平裝
Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backboneContains many data examples, including R-code and a
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The Gini Methodology ― A Primer on a Statistical Methodology
19.

The Gini Methodology ― A Primer on a Statistical Methodology

作者：Shlomo Yitzhaki; Edna Schechtman  出版社：Springer Verlag  出版日：2014/12/13 裝訂：平裝
Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or th
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Model-based Geostatistics
20.

Model-based Geostatistics

作者：P. J. Diggle; Paulo Justiniano Ribeiro  出版社：Springer Nature  出版日：2007/03/28 裝訂：平裝
This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. An
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