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Springer texts in statistics

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Springer texts in statistics

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図書
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Casella, Georgeほか
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Springer-Verlag
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Note (General):

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

Related materials as well as pre- and post-revision versions

OptimizationLeave the NDL website. Modern multivariate statistical techniques : regression, classification, and manifold learningLeave the NDL website. Essentials of stochastic processesLeave the NDL website. A first course in multivariate statisticsLeave the NDL website. Regression and experimental designLeave the NDL website. Statistical methods : the geometric approachLeave the NDL website. Lectures on categorical data analysisLeave the NDL website. Applied mathematical demographyLeave the NDL website. Statistical inferenceLeave the NDL website. Monte Carlo statistical methodsLeave the NDL website. Categorical and multivariate methodsLeave the NDL website. Plane answers to complex questions : the theory of linear modelsLeave the NDL website. An introduction to bayesian analysis : theory and methodsLeave the NDL website. Prescriptions for working statisticiansLeave the NDL website. Introduction to statistical inferenceLeave the NDL website. Statistical inferenceLeave the NDL website. Introduction to reliability analysis : probability models and statistical methodsLeave the NDL website. Plane answers to complex questions : the theory of linear modelsLeave the NDL website. Plane answers to complex questions : the theory of linear modelsLeave the NDL website. Probability : a graduate courseLeave the NDL website. Stat labs : mathematical statistics through applicationsLeave the NDL website. Introduction to time series and forecastingLeave the NDL website. Monte Carlo statistical methodsLeave the NDL website. Statistical data analysis using SAS : intermediate statistical methodsLeave the NDL website. Graphical exploratory data analysisLeave the NDL website. Probability with applications in engineering, science, and technologyLeave the NDL website. Applied probabilityLeave the NDL website. Probability for statisticiansLeave the NDL website. The Bayesian choice : a decision-theoretic motivationLeave the NDL website. Probability via expectationLeave the NDL website. OptimizationLeave the NDL website. A graduate course on statistical inferenceLeave the NDL website. Time series analysis and its applications : with R examplesLeave the NDL website. The Bayesian choice : a decision-theoretic motivationLeave the NDL website. All of statistics : a concise course in statistical inferenceLeave the NDL website. Essentials of stochastic processesLeave the NDL website. All of nonparametric statisticsLeave the NDL website. Large sample techniques for statisticsLeave the NDL website. A first course in Bayesian statistical methodsLeave the NDL website. An intermediate course in probabilityLeave the NDL website. Testing statistical hypothesesLeave the NDL website. Probability via expectationLeave the NDL website. Probability for statistics and machine learning : fundamentals and advanced topicsLeave the NDL website. Theory of multivariate statisticsLeave the NDL website. Design and analysis of experimentsLeave the NDL website. Linear models for multivariate, time series, and spatial dataLeave the NDL website. Applied Bayesian statistics : with R and OpenBUGS examplesLeave the NDL website. Time series analysis and its applicationsLeave the NDL website. Mathematical statistics with MathematicaLeave the NDL website. OptimizationLeave the NDL website. ProbabilityLeave the NDL website. Introduction to time series and forecastingLeave the NDL website. Regression analysis : theory, methods, and applicationsLeave the NDL website. Fundamentals of probability : a first courseLeave the NDL website. Studying human populations : an advanced course in statisticsLeave the NDL website. Applying generalized linear modelsLeave the NDL website. The Bayesian choice : from decision-theoretic foundations to computational implementationLeave the NDL website. Theoretical statistics : topics for a core courseLeave the NDL website. An R and S-PLUS companion to multivariate analysisLeave the NDL website. Introduction to statistics : the nonparametric wayLeave the NDL website. Design and analysis of experimentsLeave the NDL website. An R and S-Plus companion to multivariate analysisLeave the NDL website. Categorical and multivariate methodsLeave the NDL website. An introduction to statistical learning : with applications in RLeave the NDL website. Basic principles of structural equation modeling : an introduction to LISREL and EQSLeave the NDL website. Studying human populations : an advanced course in statisticsLeave the NDL website. Introduction to time series and forecastingLeave the NDL website. Probability for statisticsLeave the NDL website. Modeling longitudinal dataLeave the NDL website. Bayesian core : a practical approach to computational Bayesian statisticsLeave the NDL website. Bayesian essentials with RLeave the NDL website. Statistical analysis of financial data in S-PlusLeave the NDL website. An introduction to probability and stochastic processesLeave the NDL website. Applied regression analysis : a research toolLeave the NDL website. Time series analysis and its applications : with R examplesLeave the NDL website. A modern approach to regression with RLeave the NDL website. Measure theory and probability theoryLeave the NDL website. Statistics for bioengineering sciences : with MATLAB and WinBUGS supportLeave the NDL website. Asymptotic theory of statistics and probabilityLeave the NDL website. Mathematical statisticsLeave the NDL website. A first course in probability models and statistical inferenceLeave the NDL website. Essentials of stochastic processesLeave the NDL website. Elements of statistics for the life and social sciencesLeave the NDL website. A modern approach to regression with RLeave the NDL website. Statistical models and methods for financial marketsLeave the NDL website. Statistical methods for the analysis of repeated measurementsLeave the NDL website. Advanced linear modeling : statistical learning and dependent dataLeave the NDL website. Statistics for health data science : an organic approachLeave the NDL website. Fundamentals of high-dimensional statistics : with exercises and R labsLeave the NDL website. Large sample techniques for statisticsLeave the NDL website. Testing statistical hypothesesLeave the NDL website. An introduction to statistical learning : with applications in RLeave the NDL website. Plane answers to complex questions : the theory of linear modelsLeave the NDL website. An introduction to statistical learning : with applications in PythonLeave the NDL website. Basics of modern mathematical statistics : exercises and solutionsLeave the NDL website. Statistics and finance : an introductionLeave the NDL website. Modern multivariate statistical techniques : regression, classification, and manifold learningLeave the NDL website. Intuitive introductory statisticsLeave the NDL website. Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SASLeave the NDL website. The Bayesian choice : a decision-theoretic motivationLeave the NDL website. Statistical designLeave the NDL website. Essential statistical inference : theory and methodsLeave the NDL website. Statistics and data analysis for financial engineeringLeave the NDL website. The statistical analysis of discrete dataLeave the NDL website. Log-linear models and logistic regressionLeave the NDL website. An R and S-PLUS companion to multivariate analysisLeave the NDL website. Mathematical statistics : a unified introductionLeave the NDL website. Statistical learning from a regression perspectiveLeave the NDL website. Statistics and data analysis for financial engineering : with R examplesLeave the NDL website. Testing statistical hypothesesLeave the NDL website. Applied probabilityLeave the NDL website. Time series analysis : with applications in RLeave the NDL website. Log-linear modelsLeave the NDL website. Statistical analysis and data display : an intermediate course with examples in RLeave the NDL website. Generalized linear models with examples in RLeave the NDL website. Essentials of stochastic processesLeave the NDL website. Statistical analysis of financial data in RLeave the NDL website. Statistical analysis of designed experimentsLeave the NDL website. Applying and interpreting statistics : a comprehensive guideLeave the NDL website. Theory of point estimationLeave the NDL website. Statistics in scientific investigation : its basis, application, and interpretationLeave the NDL website. Statistical methods : the geometric approachLeave the NDL website. All of statistics : a concise course in statistical inferenceLeave the NDL website. Probability with applications in engineering, science, and technologyLeave the NDL website. The Bayesian choice : from decision-theoretic foundations to computational implementationLeave the NDL website. Analysis of variance in experimental designLeave the NDL website. ProbabilityLeave the NDL website. Basics of modern mathematical statisticsLeave the NDL website. Linear mixed-effects models using R : a step-by-step approachLeave the NDL website. Probability : a graduate courseLeave the NDL website. Advanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximizationLeave the NDL website. Probability and statistics : theory and applicationsLeave the NDL website. Modern mathematical statistics with applicationsLeave the NDL website. Statistical analysis of designed experimentsLeave the NDL website. Statistical tables and formulaeLeave the NDL website. A modern introduction to probability and statistics : understanding why and howLeave the NDL website. Probability theory : independence, interchangeability, martingalesLeave the NDL website. Time series analysis and its applications : with R examplesLeave the NDL website. Applied probabilityLeave the NDL website. Matrix algebra : theory, computations, and applications in statisticsLeave the NDL website. Introduction to graphical modellingLeave the NDL website. Modeling, analysis, design, and control of stochastic systemsLeave the NDL website. Probability for statisticiansLeave the NDL website. Probability theory : independence, interchangeability, martingalesLeave the NDL website. Statistical tables and formulaeLeave the NDL website. Introduction to time series and forecastingLeave the NDL website. Plane answers to complex questions : the theory of linear modelsLeave the NDL website. Applied multivariate analysisLeave the NDL website. Elements of large-sample theoryLeave the NDL website. Regression and experimental designLeave the NDL website. A modern introduction to probability and statistics : understanding why and howLeave the NDL website. Analyzing categorical dataLeave the NDL website. All of statistics : a concise course in statistical inferenceLeave the NDL website. Statistics for lawyersLeave the NDL website. A course in mathematical statistics and large sample theoryLeave the NDL website. Introduction to graphical modellingLeave the NDL website. Probability for applicationsLeave the NDL website. Counting for something : statistical principles and personalitiesLeave the NDL website. Time series analysis : with applications in RLeave the NDL website. Statistical methods for quality assurance : basics, measurement, control, capability, and improvementLeave the NDL website. Matrix algebra : theory, computations, and applications in statisticsLeave the NDL website. A first course in Bayesian statistical methodsLeave the NDL website. Introduction to modeling and analysis of stochastic systemsLeave the NDL website. Mathematical statisticsLeave the NDL website. ProbabilityLeave the NDL website. Plane answers to complex questions : the theory of linear modelsLeave the NDL website. Bayes factors for forensic decision analyses with RLeave the NDL website. Time series analysis and its applications : with R examplesLeave the NDL website. Matrix algebra : theory, computations and applications in statisticsLeave the NDL website. Statistical learning from a regression perspectiveLeave the NDL website. Modern mathematical statistics with applicationsLeave the NDL website. An introduction to statistical learning : with applications in RLeave the NDL website. Essentials of stochastic processesLeave the NDL website. Monte Carlo statistical methodsLeave the NDL website. Bayesian essentials with RLeave the NDL website. Analyzing categorical dataLeave the NDL website. Fundamentals of High-Dimensional Statistics : With Exercises and R LabsLeave the NDL website. Lectures on categorical data analysisLeave the NDL website. Monte Carlo statistical methodsLeave the NDL website. Bayesian inference of state space models : Kalman filtering and beyondLeave the NDL website. Testing statistical hypothesesLeave the NDL website. All of statistics : a concise course in statistical inferenceLeave the NDL website. Log-linear models and logistic regressionLeave the NDL website.

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Table of Contents

  • Optimization

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

  • Essentials of stochastic processes

  • A first course in multivariate statistics

  • Regression and experimental design

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Paper

Material Type
図書
Publication, Distribution, etc.
Place of Publication (Country Code)
us
Target Audience
一般
Note (General)
Series editors: G. Casella, S.E. Fienberg, I. Olkin
Series editors vary: Genevera I. Allen, Rebecca Nugent, Richard D. De Veaux
Related Material
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
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