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熱搜： 佛法是科學的終極典範、 巨人思維、 老公怎麼還不去死、 理想的讀本、 法律與人生(鄰居篇)、 爸爸的機械魚、 DragonMasters 1-23、 永續發展相關規範與實務、 為妳煮食、 新基本小六法

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2018~2019 （1）
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平裝 （8）
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作者
John M. Chambers （2）
Kenneth Lange （2）
Andreas Krause/ Melvin Olson （1）
Antony Unwin/ Martin Theus/ Heike Hofmann （1）
James E. Gentle （1）
Jose C. Pinheiro/ Douglas M. Bates （1）
Leland Wilkinson/ D. Wills (CON)/ D. Rope (CON)/ A. Norton (CON)/ R. Dubbs (CON) （1）
Leland Wilkinson/ Graham Wills （1）
Luca Martino/ Joaqu璯 M璲uez Arenas/ David Luengo Garc燰 （1）
Not Available (NA) （1）
Pierre Lafaye De Micheaux/ RTmy Drouilhet/ Benoit Liquet （1）
Pierre Lafaye de Micheaux/ R撟尖 Drouilhet/ Benoit Liquet （1）
Robert A. Muenchen （1）
Robert A. Muenchen/ Joseph M. Hilbe （1）
Roberto Baragona/ Francesco Battaglia/ Irene Poli （1）
Thomas Haslwanter （1）
W. N. Venables/ Brian D. Ripley （1）
William Venables/ b. D. Ripley （1）
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Graphics of Large Datasets: Visualizing a Million
1.

Graphics of Large Datasets: Visualizing a Million

作者：Antony Unwin; Martin Theus; Heike Hofmann  出版社：Springer-Verlag New York Inc  出版日：2006/08/03 裝訂：精裝
This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. Data visualization is essential for explorato
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Basics of S-plus
2.

Basics of S-plus

作者：Andreas Krause; Melvin Olson  出版社：Springer Verlag  出版日：2005/08/30 裝訂：平裝
This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the manuals, it is not comprehensive, but instead introd
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Software for Data Analysis: Programming With R
3.

Software for Data Analysis: Programming With R

作者：John M. Chambers  出版社：Springer Verlag  出版日：2008/08/01 裝訂：精裝
This is the only advanced programming book on R, the enormously successful open-source system based on the S language. It is written by John Chambers, the author of the S language from which R evolve
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Numerical Analysis for Statisticians
4.

Numerical Analysis for Statisticians

作者：Kenneth Lange  出版社：Springer Verlag  出版日：2010/06/15 裝訂：精裝
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equi
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S Programming
5.

S Programming

作者：W. N. Venables; Brian D. Ripley  出版社：Springer Verlag  出版日：2000/04/01 裝訂：精裝
S is a high-level language for manipulating, analysing and displayingdata. It forms the basis of two highly acclaimed and widely used dataanalysis software systems, the commercial S-PLUSR and the Open
無法訂購
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Evolutionary Statistical Procedures ─ An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
6.

Evolutionary Statistical Procedures ─ An Evolutionary Computation Approach to Statistical Procedures Designs and Applications

作者：Roberto Baragona; Francesco Battaglia; Irene Poli  出版社：Springer Verlag  出版日：2010/12/29 裝訂：精裝
This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in
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The Grammar of Graphics
7.

The Grammar of Graphics

作者：Leland Wilkinson; D. Wills (CON); D. Rope (CON); A. Norton (CON); R. Dubbs (CON)  出版社：Springer-Verlag New York Inc  出版日：2013/01/02 裝訂：平裝
Presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systemsThe new edition features six
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Computational Statistics
8.

Computational Statistics

作者：Not Available (NA)  出版社：Springer Verlag  出版日：2012/03/03 裝訂：平裝
Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes
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The R Software ― Fundamentals of Programming and Statistical Analysis
9.

The R Software ― Fundamentals of Programming and Statistical Analysis

作者：Pierre Lafaye De Micheaux; RTmy Drouilhet; Benoit Liquet  出版社：Springer-Verlag New York Inc  出版日：2014/02/28 裝訂：精裝
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any
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S Programming
10.

S Programming

作者：William Venables; b. D. Ripley  出版社：Springer-Verlag New York Inc  出版日：2011/12/29 裝訂：平裝
S is a high-level language for manipulating, analysing and displayingdata. It forms the basis of two highly acclaimed and widely used dataanalysis software systems, the commercial S-PLUSR and the Open
無法訂購
若需訂購本書，請電洽客服
02-25006600[分機130、131]。
Random Number Generation and Monte Carlo Methods
11.

Random Number Generation and Monte Carlo Methods

作者：James E. Gentle  出版社：Springer Verlag  出版日：2003/07/01 裝訂：精裝
Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These "pseudora
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R for SAS and SPSS Users
12.

R for SAS and SPSS Users

作者：Robert A. Muenchen  出版社：Springer-Verlag New York Inc  出版日：2011/07/26 裝訂：精裝
R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar.
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Mixed-Effects Models in s and S-Plus
13.

Mixed-Effects Models in s and S-Plus

作者：Jose C. Pinheiro; Douglas M. Bates  出版社：Springer Verlag  出版日：2000/05/01 裝訂：精裝
An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. The authors p
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Software for Data Analysis
14.

Software for Data Analysis

作者：John M. Chambers  出版社：Springer-Verlag New York Inc  出版日：2010/11/23 裝訂：平裝
John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive u
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The Grammar Of Graphics
15.

The Grammar Of Graphics

作者：Leland Wilkinson; Graham Wills  出版社：Springer Verlag  出版日：2005/08/30 裝訂：精裝
What are the rules that underlie the production of pie charts, bar charts, scatterplots, function plots, maps, mosaics, and radar charts? This book presents a unique foundation for producing almost ev
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R for Stata Users
16.

R for Stata Users

作者：Robert A. Muenchen; Joseph M. Hilbe  出版社：Springer Verlag  出版日：2012/07/01 裝訂：平裝
Stata and R are two very flexible data analysis packages. This book details how to extend the power of Stata through the use of R. It steps through more than thirty packages written in both languages,
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An Introduction to Statistics With Python ― With Applications in the Life Sciences
90折
17.

An Introduction to Statistics With Python ― With Applications in the Life Sciences

作者：Thomas Haslwanter  出版社：Springer-Verlag New York Inc  出版日：2016/06/13 裝訂：精裝
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well
定價：3825 元， 優惠價：9 3443
無庫存，下單後進貨(到貨天數約30-45天)
Basic Elements of Computational Statistics
18.

Basic Elements of Computational Statistics

作者：Wolfgang Karl H酺dle; Ostap Okhrin; Yarema Okhrin  出版社：Springer-Verlag New York Inc  出版日：2017/10/10 裝訂：精裝
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistica
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Independent Random Sampling Methods
19.

Independent Random Sampling Methods

作者：Luca Martino; Joaqu璯 M璲uez Arenas; David Luengo Garc燰  出版社：Springer-Verlag New York Inc  出版日：2018/04/11 裝訂：精裝
This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate samples from arbitrar
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Numerical Analysis for Statisticians
20.

Numerical Analysis for Statisticians

作者：Kenneth Lange  出版社：Springer Verlag  出版日：2012/09/05 裝訂：平裝
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equi
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