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Fitting Linear Relationships ― A History of the Calculus of Observations 1750-1900
1.

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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Asymptotics in Statistics ― Some Basic Concepts
2.

Asymptotics in Statistics ― Some Basic Concepts

作者：Lucien M. Le Cam; Grace Lo Yang  出版社：Springer Verlag  出版日：2000/06/01 裝訂：精裝
This is the second edition of a coherent introduction to the subject of asymptotic statistics as it has developed over the past 50 years. It differs from the first edition in that it is now more 'read
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Functional and Shape Data Analysis
3.

Functional and Shape Data Analysis

作者：Anuj Srivastava; Eric P. Klassen  出版社：Springer Verlag  出版日：2016/11/04 裝訂：精裝
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. I
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Elements of Nonlinear Time Series Analysis and Forecasting
4.

Elements of Nonlinear Time Series Analysis and Forecasting

作者：Jan G. De Gooijer  出版社：Springer Verlag  出版日：2017/04/07 裝訂：精裝
This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding a “theor
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Sampling Algorithms
5.

Sampling Algorithms

作者：Yves Tille  出版社：Springer Verlag  出版日：2006/05/01 裝訂：精裝
Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampl
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Simulation and Inference for Stochastic Differential Equations: With R Examples
6.

Simulation and Inference for Stochastic Differential Equations: With R Examples

作者：Stefano M. Iacus  出版社：Springer Verlag  出版日：2008/05/30 裝訂：精裝
This book is unique because of its focus on the practical implementation of the simulation and estimation methods presented. The book will be useful to practitioners and students with only a minimal
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Monte Carlo and Quasi-Monte Carlo Sampling
7.

Monte Carlo and Quasi-Monte Carlo Sampling

作者：Christiane Lemieux  出版社：Springer Verlag  出版日：2009/02/06 裝訂：精裝
Quasi-Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their successful implementation on practical problems, especially in financ
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Bayesian Nonparametrics
8.

Bayesian Nonparametrics

作者：J. K. Ghosh; R. V. Ramamoorthi  出版社：Springer Verlag  出版日：2003/04/01 裝訂：精裝
This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate stude
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Linear and Generalized Linear Mixed Models and Their Applications
9.

Linear and Generalized Linear Mixed Models and Their Applications

作者：Jiming Jiang  出版社：Springer Verlag  出版日：2007/02/16 裝訂：精裝
This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and it presents an up-to-date account of theory and methods in analysis of these mo
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Statistical Inference for Ergodic Diffusion Processes
10.

Statistical Inference for Ergodic Diffusion Processes

作者：Yury A. Kutoyants; Yu. A. Kutoyants  出版社：Springer Verlag  出版日：2003/11/01 裝訂：精裝
The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mat
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Longitudinal Categorical Data Analysis
11.

Longitudinal Categorical Data Analysis

作者：Brajendra C. Sutradhar  出版社：Springer Verlag  出版日：2014/12/14 裝訂：精裝
This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natura
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Smoothing Methods in Statistics
12.

Smoothing Methods in Statistics

作者：Jeffrey S. Simonoff  出版社：Springer Verlag  出版日：2011/09/16 裝訂：平裝
Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoot
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Statistical Decision Theory and Bayesian Analysis
13.

Statistical Decision Theory and Bayesian Analysis

作者：James O. Berger  出版社：Springer Verlag  出版日：1985/09/01 裝訂：平裝
In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calc
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Semiparametric Theory And Missing Data
14.

Semiparametric Theory And Missing Data

作者：Anastasios A. Tsiatis  出版社：Springer Verlag  出版日：2006/06/23 裝訂：精裝
This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of derivi
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Theory of Statistics
15.

Theory of Statistics

作者：Mark J. Schervish  出版社：Springer Verlag  出版日：1995/12/01 裝訂：精裝
The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate stude
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Analysis of Neural Data
16.

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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The Science of Bradley Efron ― Selected Papers
17.

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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Prior Processes and Their Applications ― Nonparametric Bayesian Estimation
18.

Prior Processes and Their Applications ― Nonparametric Bayesian Estimation

作者：Eswar G. Phadia  出版社：Springer Verlag  出版日：2016/08/09 裝訂：精裝
This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonpar
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Bayesian Survival Analysis
19.

Bayesian Survival Analysis

作者：Joseph George Ibrahim; Ming-Hui Chen; Debajyoti Sinha  出版社：Springer Verlag  出版日：2001/08/01 裝訂：精裝
Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival
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Comparing Distributions
20.

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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