図書

Springer texts in statistics

図書を表すアイコン

Springer texts in statistics

資料種別
図書
著者
Casella, Georgeほか
出版者
Springer-Verlag
出版年
-
資料形態
ページ数・大きさ等
-
NDC
-
すべて見る

資料に関する注記

一般注記:

Series editors: G. Casella, S.E. Fienberg, I. OlkinSeries editors vary: Genevera I. Allen, Rebecca Nugent, Richard D. De Veaux

関連資料・改題前後資料

Optimization外部サイトModern multivariate statistical techniques : regression, classification, and manifold learning外部サイトEssentials of stochastic processes外部サイトA first course in multivariate statistics外部サイトRegression and experimental design外部サイトStatistical methods : the geometric approach外部サイトLectures on categorical data analysis外部サイトApplied mathematical demography外部サイトStatistical inference外部サイトMonte Carlo statistical methods外部サイトCategorical and multivariate methods外部サイトPlane answers to complex questions : the theory of linear models外部サイトAn introduction to bayesian analysis : theory and methods外部サイトPrescriptions for working statisticians外部サイトIntroduction to statistical inference外部サイトStatistical inference外部サイトIntroduction to reliability analysis : probability models and statistical methods外部サイトPlane answers to complex questions : the theory of linear models外部サイトPlane answers to complex questions : the theory of linear models外部サイトProbability : a graduate course外部サイトStat labs : mathematical statistics through applications外部サイトIntroduction to time series and forecasting外部サイトMonte Carlo statistical methods外部サイトStatistical data analysis using SAS : intermediate statistical methods外部サイトGraphical exploratory data analysis外部サイトProbability with applications in engineering, science, and technology外部サイトApplied probability外部サイトProbability for statisticians外部サイトThe Bayesian choice : a decision-theoretic motivation外部サイトProbability via expectation外部サイトOptimization外部サイトA graduate course on statistical inference外部サイトTime series analysis and its applications : with R examples外部サイトThe Bayesian choice : a decision-theoretic motivation外部サイトAll of statistics : a concise course in statistical inference外部サイトEssentials of stochastic processes外部サイトAll of nonparametric statistics外部サイトLarge sample techniques for statistics外部サイトA first course in Bayesian statistical methods外部サイトAn intermediate course in probability外部サイトTesting statistical hypotheses外部サイトProbability via expectation外部サイトProbability for statistics and machine learning : fundamentals and advanced topics外部サイトTheory of multivariate statistics外部サイトDesign and analysis of experiments外部サイトLinear models for multivariate, time series, and spatial data外部サイトApplied Bayesian statistics : with R and OpenBUGS examples外部サイトTime series analysis and its applications外部サイトMathematical statistics with Mathematica外部サイトOptimization外部サイトProbability外部サイトIntroduction to time series and forecasting外部サイトRegression analysis : theory, methods, and applications外部サイトFundamentals of probability : a first course外部サイトStudying human populations : an advanced course in statistics外部サイトApplying generalized linear models外部サイトThe Bayesian choice : from decision-theoretic foundations to computational implementation外部サイトTheoretical statistics : topics for a core course外部サイトAn R and S-PLUS companion to multivariate analysis外部サイトIntroduction to statistics : the nonparametric way外部サイトDesign and analysis of experiments外部サイトAn R and S-Plus companion to multivariate analysis外部サイトCategorical and multivariate methods外部サイトAn introduction to statistical learning : with applications in R外部サイトBasic principles of structural equation modeling : an introduction to LISREL and EQS外部サイトStudying human populations : an advanced course in statistics外部サイトIntroduction to time series and forecasting外部サイトProbability for statistics外部サイトModeling longitudinal data外部サイトBayesian core : a practical approach to computational Bayesian statistics外部サイトBayesian essentials with R外部サイトStatistical analysis of financial data in S-Plus外部サイトAn introduction to probability and stochastic processes外部サイトApplied regression analysis : a research tool外部サイトTime series analysis and its applications : with R examples外部サイトA modern approach to regression with R外部サイトMeasure theory and probability theory外部サイトStatistics for bioengineering sciences : with MATLAB and WinBUGS support外部サイトAsymptotic theory of statistics and probability外部サイトMathematical statistics外部サイトA first course in probability models and statistical inference外部サイトEssentials of stochastic processes外部サイトElements of statistics for the life and social sciences外部サイトA modern approach to regression with R外部サイトStatistical models and methods for financial markets外部サイトStatistical methods for the analysis of repeated measurements外部サイトAdvanced linear modeling : statistical learning and dependent data外部サイトStatistics for health data science : an organic approach外部サイトFundamentals of high-dimensional statistics : with exercises and R labs外部サイトLarge sample techniques for statistics外部サイトTesting statistical hypotheses外部サイトAn introduction to statistical learning : with applications in R外部サイトPlane answers to complex questions : the theory of linear models外部サイトAn introduction to statistical learning : with applications in Python外部サイトBasics of modern mathematical statistics : exercises and solutions外部サイトStatistics and finance : an introduction外部サイトModern multivariate statistical techniques : regression, classification, and manifold learning外部サイトIntuitive introductory statistics外部サイトStatistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS外部サイトThe Bayesian choice : a decision-theoretic motivation外部サイトStatistical design外部サイトEssential statistical inference : theory and methods外部サイトStatistics and data analysis for financial engineering外部サイトThe statistical analysis of discrete data外部サイトLog-linear models and logistic regression外部サイトAn R and S-PLUS companion to multivariate analysis外部サイトMathematical statistics : a unified introduction外部サイトStatistical learning from a regression perspective外部サイトStatistics and data analysis for financial engineering : with R examples外部サイトTesting statistical hypotheses外部サイトApplied probability外部サイトTime series analysis : with applications in R外部サイトLog-linear models外部サイトStatistical analysis and data display : an intermediate course with examples in R外部サイトGeneralized linear models with examples in R外部サイトEssentials of stochastic processes外部サイトStatistical analysis of financial data in R外部サイトStatistical analysis of designed experiments外部サイトApplying and interpreting statistics : a comprehensive guide外部サイトTheory of point estimation外部サイトStatistics in scientific investigation : its basis, application, and interpretation外部サイトStatistical methods : the geometric approach外部サイトAll of statistics : a concise course in statistical inference外部サイトProbability with applications in engineering, science, and technology外部サイトThe Bayesian choice : from decision-theoretic foundations to computational implementation外部サイトAnalysis of variance in experimental design外部サイトProbability外部サイトBasics of modern mathematical statistics外部サイトLinear mixed-effects models using R : a step-by-step approach外部サイトProbability : a graduate course外部サイトAdvanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximization外部サイトProbability and statistics : theory and applications外部サイトModern mathematical statistics with applications外部サイトStatistical analysis of designed experiments外部サイトStatistical tables and formulae外部サイトA modern introduction to probability and statistics : understanding why and how外部サイトProbability theory : independence, interchangeability, martingales外部サイトTime series analysis and its applications : with R examples外部サイトApplied probability外部サイトMatrix algebra : theory, computations, and applications in statistics外部サイトIntroduction to graphical modelling外部サイトModeling, analysis, design, and control of stochastic systems外部サイトProbability for statisticians外部サイトProbability theory : independence, interchangeability, martingales外部サイトStatistical tables and formulae外部サイトIntroduction to time series and forecasting外部サイトPlane answers to complex questions : the theory of linear models外部サイトApplied multivariate analysis外部サイトElements of large-sample theory外部サイトRegression and experimental design外部サイトA modern introduction to probability and statistics : understanding why and how外部サイトAnalyzing categorical data外部サイトAll of statistics : a concise course in statistical inference外部サイトStatistics for lawyers外部サイトA course in mathematical statistics and large sample theory外部サイトIntroduction to graphical modelling外部サイトProbability for applications外部サイトCounting for something : statistical principles and personalities外部サイトTime series analysis : with applications in R外部サイトStatistical methods for quality assurance : basics, measurement, control, capability, and improvement外部サイトMatrix algebra : theory, computations, and applications in statistics外部サイトA first course in Bayesian statistical methods外部サイトIntroduction to modeling and analysis of stochastic systems外部サイトMathematical statistics外部サイトProbability外部サイトPlane answers to complex questions : the theory of linear models外部サイトBayes factors for forensic decision analyses with R外部サイトTime series analysis and its applications : with R examples外部サイトMatrix algebra : theory, computations and applications in statistics外部サイトStatistical learning from a regression perspective外部サイトModern mathematical statistics with applications外部サイトAn introduction to statistical learning : with applications in R外部サイトEssentials of stochastic processes外部サイトMonte Carlo statistical methods外部サイトBayesian essentials with R外部サイトAnalyzing categorical data外部サイトFundamentals of High-Dimensional Statistics : With Exercises and R Labs外部サイトLectures on categorical data analysis外部サイトMonte Carlo statistical methods外部サイトBayesian inference of state space models : Kalman filtering and beyond外部サイトTesting statistical hypotheses外部サイトAll of statistics : a concise course in statistical inference外部サイトLog-linear models and logistic regression外部サイト

書店で探す

目次

  • Optimization

  • Modern multivariate statistical techniques : regression, classification, and manifold learning

  • Essentials of stochastic processes

  • A first course in multivariate statistics

  • Regression and experimental design

全国の図書館の所蔵

国立国会図書館以外の全国の図書館の所蔵状況を表示します。

所蔵のある図書館から取寄せることが可能かなど、資料の利用方法は、ご自身が利用されるお近くの図書館へご相談ください

その他

  • CiNii Research

    検索サービス
    連携先のサイトで、CiNii Researchが連携している機関・データベースの所蔵状況を確認できます。

書誌情報

この資料の詳細や典拠(同じ主題の資料を指すキーワード、著者名)等を確認できます。

資料種別
図書
出版事項
出版地(国名コード)
us
対象利用者
一般
一般注記
Series editors: G. Casella, S.E. Fienberg, I. Olkin
Series editors vary: Genevera I. Allen, Rebecca Nugent, Richard D. De Veaux
関連情報
Optimization
Modern multivariate statistical techniques : regression, classification, and manifold learning
Essentials of stochastic processes
A first course in multivariate statistics
Regression and experimental design
Statistical methods : the geometric approach
Lectures on categorical data analysis
Applied mathematical demography
Statistical inference
Monte Carlo statistical methods
Categorical and multivariate methods
Plane answers to complex questions : the theory of linear models
An introduction to bayesian analysis : theory and methods
Prescriptions for working statisticians
Introduction to statistical inference
Statistical inference
Introduction to reliability analysis : probability models and statistical methods
Plane answers to complex questions : the theory of linear models
Plane answers to complex questions : the theory of linear models
Probability : a graduate course
Stat labs : mathematical statistics through applications
Introduction to time series and forecasting
Monte Carlo statistical methods
Statistical data analysis using SAS : intermediate statistical methods
Graphical exploratory data analysis
Probability with applications in engineering, science, and technology
Applied probability
Probability for statisticians
The Bayesian choice : a decision-theoretic motivation
Probability via expectation
Optimization
A graduate course on statistical inference
Time series analysis and its applications : with R examples
The Bayesian choice : a decision-theoretic motivation
All of statistics : a concise course in statistical inference
Essentials of stochastic processes
All of nonparametric statistics
Large sample techniques for statistics
A first course in Bayesian statistical methods
An intermediate course in probability
Testing statistical hypotheses
Probability via expectation
Probability for statistics and machine learning : fundamentals and advanced topics
Theory of multivariate statistics
Design and analysis of experiments
Linear models for multivariate, time series, and spatial data
Applied Bayesian statistics : with R and OpenBUGS examples
Time series analysis and its applications
Mathematical statistics with Mathematica
Optimization
Probability
Introduction to time series and forecasting
Regression analysis : theory, methods, and applications
Fundamentals of probability : a first course
Studying human populations : an advanced course in statistics
Applying generalized linear models
The Bayesian choice : from decision-theoretic foundations to computational implementation
Theoretical statistics : topics for a core course
An R and S-PLUS companion to multivariate analysis
Introduction to statistics : the nonparametric way
Design and analysis of experiments
An R and S-Plus companion to multivariate analysis
Categorical and multivariate methods
An introduction to statistical learning : with applications in R
Basic principles of structural equation modeling : an introduction to LISREL and EQS
Studying human populations : an advanced course in statistics
Introduction to time series and forecasting
Probability for statistics
Modeling longitudinal data
Bayesian core : a practical approach to computational Bayesian statistics
Bayesian essentials with R
Statistical analysis of financial data in S-Plus
An introduction to probability and stochastic processes
Applied regression analysis : a research tool
Time series analysis and its applications : with R examples
A modern approach to regression with R
Measure theory and probability theory
Statistics for bioengineering sciences : with MATLAB and WinBUGS support
Asymptotic theory of statistics and probability
Mathematical statistics
A first course in probability models and statistical inference
Essentials of stochastic processes
Elements of statistics for the life and social sciences
A modern approach to regression with R
Statistical models and methods for financial markets
Statistical methods for the analysis of repeated measurements
Advanced linear modeling : statistical learning and dependent data
Statistics for health data science : an organic approach
Fundamentals of high-dimensional statistics : with exercises and R labs
Large sample techniques for statistics
Testing statistical hypotheses
An introduction to statistical learning : with applications in R
Plane answers to complex questions : the theory of linear models
An introduction to statistical learning : with applications in Python
Basics of modern mathematical statistics : exercises and solutions
Statistics and finance : an introduction
Modern multivariate statistical techniques : regression, classification, and manifold learning
Intuitive introductory statistics
Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS
The Bayesian choice : a decision-theoretic motivation
Statistical design
Essential statistical inference : theory and methods
Statistics and data analysis for financial engineering
The statistical analysis of discrete data
Log-linear models and logistic regression
An R and S-PLUS companion to multivariate analysis
Mathematical statistics : a unified introduction
Statistical learning from a regression perspective
Statistics and data analysis for financial engineering : with R examples
Testing statistical hypotheses
Applied probability
Time series analysis : with applications in R
Log-linear models
Statistical analysis and data display : an intermediate course with examples in R
Generalized linear models with examples in R
Essentials of stochastic processes
Statistical analysis of financial data in R
Statistical analysis of designed experiments
Applying and interpreting statistics : a comprehensive guide
Theory of point estimation
Statistics in scientific investigation : its basis, application, and interpretation
Statistical methods : the geometric approach
All of statistics : a concise course in statistical inference
Probability with applications in engineering, science, and technology
The Bayesian choice : from decision-theoretic foundations to computational implementation
Analysis of variance in experimental design
Probability
Basics of modern mathematical statistics
Linear mixed-effects models using R : a step-by-step approach
Probability : a graduate course
Advanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximization
Probability and statistics : theory and applications
Modern mathematical statistics with applications
Statistical analysis of designed experiments
Statistical tables and formulae
A modern introduction to probability and statistics : understanding why and how
Probability theory : independence, interchangeability, martingales
Time series analysis and its applications : with R examples
Applied probability
Matrix algebra : theory, computations, and applications in statistics
Introduction to graphical modelling
Modeling, analysis, design, and control of stochastic systems
Probability for statisticians
Probability theory : independence, interchangeability, martingales
Statistical tables and formulae
Introduction to time series and forecasting
Plane answers to complex questions : the theory of linear models
Applied multivariate analysis
Elements of large-sample theory
Regression and experimental design
A modern introduction to probability and statistics : understanding why and how
Analyzing categorical data
All of statistics : a concise course in statistical inference
Statistics for lawyers
A course in mathematical statistics and large sample theory
Introduction to graphical modelling
Probability for applications
Counting for something : statistical principles and personalities
Time series analysis : with applications in R
Statistical methods for quality assurance : basics, measurement, control, capability, and improvement
Matrix algebra : theory, computations, and applications in statistics
A first course in Bayesian statistical methods
Introduction to modeling and analysis of stochastic systems
Mathematical statistics
Probability
Plane answers to complex questions : the theory of linear models
Bayes factors for forensic decision analyses with R
Time series analysis and its applications : with R examples
Matrix algebra : theory, computations and applications in statistics
Statistical learning from a regression perspective
Modern mathematical statistics with applications
An introduction to statistical learning : with applications in R
Essentials of stochastic processes
Monte Carlo statistical methods
Bayesian essentials with R
Analyzing categorical data
Fundamentals of High-Dimensional Statistics : With Exercises and R Labs
Lectures on categorical data analysis
Monte Carlo statistical methods
Bayesian inference of state space models : Kalman filtering and beyond
Testing statistical hypotheses
All of statistics : a concise course in statistical inference
Log-linear models and logistic regression
連携機関・データベース
国立情報学研究所 : CiNii Research