統計科学国際百科事典（第２版・全４巻）
International Encyclopedia of Statistical Science 2ND

Editor: Miodrag Lovric, Radford University, Radford, USA
2025:05 4 vols. 2,917 p. 300 illus.,185 in color. ISBN 978-3-662-69358-2  (Springer) -DE-

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• 日本の寄稿者抜粋
• 収録項目明細

概要

いまや分野を越える「データサイエンス」が大学生や社会人の基礎教養として求められる時代ですが、統計学の知識はそのコア中のコアともいうべきもので、文理の別なく身に着けておきたいところです。

本書は、グローバルに必要とされている統計学教育の国際的基準を打ち立てた画期的なレファレンスInternational Encyclopedia of Statistical Science（初版ISBN 9783642048975）の15年ぶりの新版です。110か国から700人以上の著者が寄稿し、中にはノーベル賞受賞者や歴代の統計学会の会長も含まれる、錚々たる顔ぶれです。本書の初版はまた、日本統計学会による邦訳『統計科学百科事典』全5巻（丸善出版2018年）としても広く知られています。世界的な統計学教育の危機に対して、本書は統計学の主要用語・方法・応用を多様なユーザーのためにわかりやすく示し、ビジネス、経済、医療、公共政策などを含む実践の場で役立つ学問として統計学を再生させる意図を持って刊行されたものです。その初版の達成を礎として、新版では、AIの進化などとともにますますデータサイエンスとしての性格を強める、統計学の最新の全容に迫ろうとします。

世界の一流の統計学者たちが結集し、あらゆる分野に使える統計学を学ぶ意義を十全に示した本書を、理工・医学系のみならず人文・社会系にも広がる「データサイエンス」関連の学部・学科では、まさに必携のレファレンスとして、おすすめいたします。

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日本の寄稿者抜粋

*寄稿者一覧はこちら

• 赤池 弘次（統計数理研究所）
  Hirotugu Akaike, Institute of Statistical Mathematics, Japan
• 大門 貴志（兵庫医科大学）
  Takashi Daimon, Hyogo Medical University, Japan
• 濱崎 俊光（ジョージワシントン大学）
  Toshimitsu Hamasaki, George Wahinton University, Japan
• 井桁 正尭（兵庫医科大学）
  Masataka Igeta, Hyogo Medical University, Japan
• 前園 宜彦（中央大学）
  Yoshihiko Maesono, Chuo University, Japan
• 間瀬 茂（東京工業大学）
  Shigeru Mase, Tokyo Institute of Technology, Japan
• 森川 敏彦（久留米大学）
  Toshihiko Morikawa, Kurume University, Japan
• 杉谷 利文（日本製薬医学会）
  Toshifumi Sugitani, The Japanese Association of Pharmaceutical Medicine, Japan
• 内田 雅之（大阪大学）
  Masayuki Uchida, Osaka University, Japan
• 上坂 浩之 （大阪大学）
  Hiroyuki Uesaka, Osaka University, Japan
• 吉田 朋広（東京大学）
  Nakahiro Yoshida, University of Tokyo, Japan
• 美添 泰人（青山学院大学）
  Yasuto Yoshizoe, Aoyama Gakuin University, Japan

収録項目明細

• Absolute Penalty Estimation
• Accelerated Lifetime Testing
• Acceptance Sampling Plans
• Actuarial Methods
• Adaptive Linear Regression
• Adaptive Methods
• Adaptive Sampling
• Advantages of Bayesian Structuring, The: Estimating Ranks and Histograms
• African Population Censuses
• Age Standardization
• Aggregation Schemes: Revisit
• Akaike Information Criterion, The: Background, Derivation, Properties, and Refinements
• Akaike’s Information Criterion
• Algebraic Statistics
• Algorithms for Optimal Design of Experiments
• Almost Sure Convergence of Random Variables
• Analysis and Statistical Modeling of Thyroid Cancer
• Analysis of Areal and Spatial Interaction Data
• Analysis of Covariance
• Analysis of Multivariate Agricultural Data
• Analysis of Recurrent Events Based on Models for Count Data Analysis
• Analysis of Variance
• Anderson-Darling Tests of Goodness-of-Fit
• ANOSP: ANalysis Of SPacings for Testing Exponential Locations
• Application of R in Statistics
• Applications and Methodologies in Functional Data Analysis
• Approximations for Densities of Sufficient Estimators
• Approximations to Distributions
• Artificial Neural Networks Multicriteria Statistical Analysis for Small Samples in Stochastic Systems
• Aspects of Pattern Recognition
• Association Measures for Nominal Categorical Variables
• Astrostatistics
• Asymptotic Normality
• Asymptotic Properties of Statistics Based on Samples with Random Sizes
• Asymptotic Relative Efficiency in Estimation
• Asymptotic Relative Efficiency in Testing
• Asymptotic, Higher Order
• Autocorrelation in Regression
• Axioms of Probability
• Balanced Sampling
• Bartlett and Bartlett-Type Corrections
• Bartlett’s Test
• Bayes Factor
• Bayes Factor and the Value of Evidence
• Bayes’ Theorem
• Bayesian Adaptation
• Bayesian Analysis or Evidence-Based Statistics
• Bayesian Approach of the Unit Root Test
• Bayesian Computation
• Bayesian Disease Mapping
• Bayesian Nonparametric Statistics
• Bayesian P-Values
• Bayesian Reliability Modeling
• Bayesian Semiparametric Regression
• Bayesian Spatiotemporal Health Surveillance
• Bayesian Statistics
• Bayesian Statistics in Pharmaceutical Research
• Bayesian Versus Classical Point Estimation: A Comparative Overview
• Bayesian Versus Frequentist Statistical Reasoning
• Behrens-Fisher Problem
• Best Linear Unbiased Estimation in Linear Models
• Beta Distribution, The
• BetaBoop Function, BetaBoop Random Variables, and Extremal Population Growth
• Beyond the Horizon: A Statistical Odyssey in the Quest for Extraterrestrial Life
• Bias Analysis
• Bias Correction
• Big Data
• Binomial Distribution
• Bioinformatics
• Biostatistics
• Bivariate Distributions
• Bonus-Malus System: Statistical Foundation
• Bootstrap Advances: Past, Present, and Future
• Bootstrap Asymptotics
• Bootstrap Methods
• Borel-Cantelli Lemma and Its Generalizations, The
• Box-Cox Transformation
• Box–Jenkins Models
• Brownian Motion and Diffusions
• Business Analytics
• Business Forecasting Methods
• Business Intelligence
• Business Statistics
• Business Surveys
• χ 2 Distribution
• Calibration
• Calibration, Multivariate
• Canonical Analysis and Measures of Association
• Canonical Correlation Analysis
• Careers in Statistics
• Careers in Statistics and How to Encourage Them
• Case-Control Studies
• Categorical Data Analysis
• Causal Diagrams
• Causal Inference Under the Potential Outcomes Approach
• Causation and Causal Inference
• Censoring Methodology
• Census
• Central Limit Theorems
• Chaotic Modelling
• Characteristic Functions
• Chebyshev’s Inequality
• Chemometrics
• Chernoff Bound
• Chernoff Faces
• Chernoff-Savage Theorem
• Chi-Square Test: Analysis of Contingency Tables
• Chi-Square Tests
• Chi-Squared Goodness-of-fit Tests: Drawbacks and Improvements
• Choquet’s Integral Representations in Probability
• Clinical Trials, History of
• Clinical Trials: Overview
• Clinical Trials: Some Aspects of Public Interest
• Cluster Sampling
• Coefficient of Variation
• Collapsibility
• Color in Data Visualization
• Comparability of Statistics
• Compatibility
• Complier-Average Causal Effect (CACE) Estimation
• Components of Statistics
• Composite Indicators
• Computational Statistics
• Conditional Expectation and Probability
• Confidence Distributions
• Confidence Interval
• Confounding and Confounder Control
• Contagious Distributions
• Continuity Correction
• Control Charts
• Convergence of Random Variables
• Cook’s Distance
• Copulas
• Copulas in Finance
• Copulas: Distribution Functions and Simulation
• Cornish–Fisher Expansions
• Correlation Coefficient
• Correlation Versus Causation
• Correspondence Analysis
• C p Statistic
• Cramér-Rao Inequality, The
• Cramér-Von Mises Statistics for Discrete Distributions
• Credible Intervals
• Cross Classified and Multiple Membership Multilevel Models
• Cross-Covariance Operators
• Cure Rate Models
• Cybersecurity: Recent Developments—Statistical Analysis and Predictive Models
• Cyber-Vulnerabilities Life Cycle and Risk Assessment
• Data Analysis
• Data Depth
• Data Mining
• Data Mining Time Series Data
• Data Privacy and Confidentiality
• Data Quality (Poor Quality Data: The Fly in the Data Analytics Ointment)
• Data Science Versus Statistics
• Data Science, Data Mining, Machine Learning, Big Data, and Statistics
• Data Visualization
• Deciphering Life’s Origins: A Statistical Odyssey in Evolution Versus Intelligent Design
• Decision Theory: Introduction
• Decision Theory: Overview
• Deep Learning: An Overview
• Degradation Models in Reliability and Survival Analysis
• Degrees of Freedom
• Degrees of Freedom in Statistical Inference
• Demographic Analysis: A Stochastic Approach
• Demography
• Density Ratio Model
• Departures from Assumptions Underlying the Analysis of Variance Model
• Design for Six Sigma
• Design of Experiments: A Pattern of Progress
• Designs for Generalized Linear Models
• Detecting Outliers in Time Series Using Simulation
• Detection of Turning Points in Business Cycles
• Dickey Fuller Tests
• Digital Humanities and Regularized Regression
• Discriminant Analysis: Issues and Problems
• Dispersion Models
• Distance Sampling
• Distributions of Order K
• Diversity
• Divisible Statistics
• Dorfman’s Compound Analyses
• Dose-Finding Designs for Cancer Clinical Trials
• Dual Frame Survey Estimation
• Dummy Variables
• Durbin-Watson Test, The
• Dynamics of Stochastic Difference Equations and Applications
• Econometrics
• Econometrics: A Failed Science?
• Economic Growth and Well-Being: Statistical Perspective
• Economic Statistics
• Edgeworth Expansion
• Effect Modification and Biological Interaction
• Effect Size, The
• Eigenvalue, Eigenvector and Eigenspace
• Empirical Bayes
• Empirical Likelihood Approach to Inference from Sample Survey Data
• Empirical Processes
• Empowering Statistical Learning: Decision Trees and R Templates in Applied Statistics
• Entropy
• Entropy and Cross Entropy as Diversity and Distance Measures
• Equivalence Testing
• Ergodic Theorem, The
• Erlang Formulas
• Estimation
• Estimation Problems for Random Fields
• Estimation: Overview
• Ethics in Statistical Science
• e-Value: Epistemic Value of Statistical Hypotheses
• E-values (E for Expectation) in Hypothesis Testing
• Event History Analysis
• Evolution of Statistical Practice: From Controversies to the New Statistics
• Exact Goodness-of-fit Tests Based on Sufficiency
• Exact Inference for Categorical Data
• Exact Permutation Distribution
• Exchangeability
• Expected Value
• Experimental Designs for Research with Farmers
• Explaining Paradoxes in Nonparametric Statistics
• Exploratory Data Analysis
• Exponential and Holt-Winters Smoothing
• Exponential Autoregressive (EXPAR) Models
• Exponential Family Models
• Exponential Family: Statistical Inference
• Extreme Value Distributions
• Extreme Value Theory and Applications
• Extremes of Gaussian Processes and Fields
• F Distribution, The
• Factor Analysis and Latent Variable Modelling
• Factorial Experiments
• False Discovery Rate
• Fiducial Inference, On
• Financial Return Distributions
• First Exit Time Problem, The
• First-Hitting-Time Based Threshold Regression
• Fisher Exact Test, The
• Fisher–Tippett Theorem
• Five-Number Summaries
• Forecasting Overview
• Forecasting Principles
• Forecasting with ARIMA Processes
• Foundations of Probability
• Frailty Model, The
• Fraud in Statistics
• Frequentist Model Averaging
• Full Bayesian Significant Test (FBST)
• Functional Data Analysis
• Functional Derivatives in Statistics: Asymptotics and Robustness
• Fuzzy Sets: An Introduction
• Gamma Distribution, The
• GARCH Models
• Gaussian Processes
• Gauss-Markov Theorem
• General Linear Models
• Generalized Hyperbolic Distributions
• Generalized Linear Models
• Generalized Order Statistics
• Generalized Quasi-Likelihood (GQL) Inferences, On
• Generalized Quasi-Likelihood (GQL) Inferences, On: A Follow-Up Note
• Generalized Rayleigh Distribution
• Generalized Weibull Distributions
• Geo-Max Stability, Extremes, and Order Statistics of Geometrically Thinned Sequences
• Geometric and Negative Binomial Distributions
• Geometric Mean
• Geostatistics and Kriging Predictors
• Glivenko-Cantelli Theorems
• Graphical Analysis of Variance
• Graphical Markov Models
• Group Testing Models
• Group Testing Procedures for Screening: Probabilistic Model
• Handling with Missing Observations in Simple Random Sampling and Ranked Set Sampling
• Harmonic Mean
• Hazard Ratio Estimator
• Hazard Regression Models
• Heavy-Tailed Distributions
• Heteroscedastic Time Series
• Heteroscedasticity
• Hierarchical Clustering
• History and Philosophy of Probability: From Ancient Games to Modern Theories
• History of Probability
• History of Statistical Publications
• History of Statistics
• Hodges-Lehmann Estimators
• Horvitz-Thomson Estimator, The
• Hotelling’s T 2 Statistic
• Hyperbolic Secant Distributions and Generalizations
• Hypergeometric Distribution and Its Application in Statistics
• Identifiability
• Imprecise Probability
• Imprecise Reliability
• Imputation
• In Defense of Frequentist Hypothesis Testing
• Incomplete Block Designs
• Incomplete Data in Clinical and Epidemiological Studies
• Independent Component Analysis
• Index Numbers
• Industrial Big Data
• Industrial Statistics
• Inference Under Informative Probability Sampling
• Influential Observations
• Information Theory and Statistics
• Innovation Diffusion Models: From Differential Equations to Networks
• Instrumental Variables
• Integrated Statistical Databases
• Interaction
• Interactive and Dynamic Statistical Graphics
• Internet Survey Methodology: Recent Trends and Developments
• Intervention Analysis in Time Series
• Intraclass Correlation Coefficient
• Introduction to Cluster Analysis
• Introduction to Experimental Design
• Invariant Coordinate Selection
• Inverse Gaussian Distribution
• Inverse Sampling
• Inversion of Bayes’ Formula for Events
• ITÔ Integral
• Jackknife, The
• James–Stein Estimator in Regression and Econometric Models
• Jarque-Bera Test, The
• Jeffreys-Lindley Paradox
• Jump Regression Analysis
• Kalman Filtering
• Kaplan-Meier Estimator, The
• Kappa Coefficient of Agreement
• Kendall’s Tau
• Khmaladze Transformation
• k-Means Clustering
• Kolmogorov-Smirnov Test
• Kullback-Leibler Divergence
• Kurtosis: An Overview
• Laplace Stochastic Models
• Large Deviations and Applications
• Latin Square Designs
• Laws of Large Numbers, The
• Learning Statistics in a Foreign Language
• Least Absolute Residuals Procedure
• Least Squares
• Lévy Processes
• Life Expectancy
• Life Table, The
• Likelihood
• Limit Theorems of Probability Theory
• Linear Mixed Models for Repeated Measures and Hierarchical Data
• Linear Mixed Models: An Overview
• Linear Regression Models
• Local Asymptotic Mixed Normal Family
• Location–Scale Distributions
• Logistic Distribution
• Logistic Regression
• Logistic-Normal Distribution
• Long-Memory Processes
• Lorenz Curve
• Loss Function
• Low-Rank Approximations in Statistics
• Margin of Error
• Marginal Probability: Its Use in Bayesian Statistics as the Evidence of Models and Bayes Factors
• Marked Point Processes in Image Analysis
• Markov Chain Monte Carlo
• Markov Chains
• Markov Processes
• Martingale Central Limit Theorem
• Maximum Likelihood: Theoretical Foundations and Practical Applications
• Mean Residual Life
• Mean, Median and Mode
• Mean, Median and Mode: Introduction
• Measure Theory in Probability
• Measurement Error Models
• Measurement of Economic Progress
• Measurement of Uncertainty
• Measures of Agreement
• Measures of Dependence
• Median Filters and Extensions
• Medical Statistics
• Meta-analysis
• Method Comparison Studies
• Methods of Moments Estimation
• Minimax Absolute Residual Procedure
• Minimum Variance Unbiased
• Misuse of Statistics
• Misuse of Statistics, On the
• Mixed Membership Models
• Mixed-Paradigm Hypothesis Tests
• Mixture Cure Models
• Mixture Models
• Model Selection
• Model-Based Geostatistics
• Model-Free Bootstrap
• Modeling Count Data
• Modeling Probabilistic and Statistical Prediction of Risks Based on Monitoring System Data
• Modeling Randomness Using System Dynamics Concepts
• Modeling Survival Data
• Models for Z +-Valued Time Series Based on Thinning
• Moderate Deviations
• Moderating and Mediating Variables in Psychological Research
• Moment Generating Function, The
• Monitoring Robust Regression
• Monte Carlo Methods in Statistics
• Monty Hall Problem: Solution
• Mood Test
• Most Powerful Test
• Moving Averages
• Multicollinearity
• Multicriteria Clustering
• Multicriteria Decision Analysis
• Multidimensional Scaling
• Multidimensional Scaling: Introduction
• Multilevel Analysis
• Multinomial Distribution
• Multi-Party Inference and Uncongeniality
• Multiple Comparison
• Multiple Comparisons Testing from a Bayesian Perspective
• Multiple Imputation
• Multiple Statistical Decision Theory
• Multistage Sampling
• Multivariable Fractional Polynomial Models and Extensions
• Multivariate Analysis of Variance (MANOVA)
• Multivariate Normal Distributions, The
• Multivariate Outliers
• Multivariate Rank Procedures: Perspectives and Prospectives
• Multivariate Reduced-Rank Regression
• Multivariate Statistical Analysis
• Multivariate Statistical Distributions
• Multivariate Statistical Process Control
• Multivariate Statistical Simulation
• Multivariate Techniques, Robustness
• National Account Statistics
• Navigating the Ethical Terrain: Principles and Practices in Machine Learning
• Navigating the Replication Crisis in Science: Striving for Solutions
• Network Models in Probability and Statistics
• Network Sampling
• Neural Networks
• New Statistics, The
• Neyman-Pearson Lemma
• Nonlinear Mixed Effects Models
• Non-linear Models
• Nonlinear Regression
• Nonlinear Time Series Analysis
• Nonparametric Approach to Extreme Value Statistics, A
• Nonparametric Estimation
• Nonparametric Estimation Based on Incomplete Observations
• Nonparametric Models for ANOVA and ANCOVA Designs
• Nonparametric Predictive Inference
• Nonparametric Rank Tests
• Nonparametric Regression Based on Ranks
• Nonparametric Regression Using Kernel and Spline Methods
• Nonparametric Statistical Inference
• Nonprobability Sampling SurveyMethods
• Nonresponse in Surveys
• Nonresponse in Web Surveys
• Nonsampling Errors in Survey Research
• Non-uniform Random Variate Generation
• Normal Distribution: Its Properties, Importance, and Applications in Science
• Normal Scores
• Normality Tests
• Normality Tests: Power Comparison
• Note on Tests of Independence, A
• Null-Hypothesis Significance Testing: Misconceptions
• Numerical Integration
• Numerical Methods for Stochastic Differential Equations
• Official Statistics
• Omnibus Test for Departures from Normality
• Online Statistics Education
• Online Time Series Analysis
• Optimal Approximate Design
• Optimal Designs for Estimating Slopes
• Optimal Shrinkage Estimation
• Optimal Shrinkage Preliminary Test Estimation
• Optimal Statistical Inference in Financial Engineering
• Optimal Stopping Rules
• Optimality and Robustness in Statistical Forecasting
• Optimum Experimental Design
• Order Statistics
• Ordered Statistical Data: Recent Developments
• Outliers
• Overview of Discriminant Analysis, An
• Overview of Multivariate Data Analysis, An
• Overview on Vaccine Efficacy, An
• Panel Data
• Panjer Count Models and Aggregate Claims
• Parametric and Nonparametric Reliability Analysis
• Parametric Versus Nonparametric Tests
• Pareto Sampling
• Partial Least Squares Regression Versus Other Methods
• Partial Least Squares Structural Equation Modeling (PLS-SEM): A Rapidly Emerging SEM Alternative
• Past, Present, and Future of Data Science, The
• Performance Measures for Binary and Multi-class Classification
• Permanents in Probability Theory
• Permutation Tests
• Pharmaceutical Statistics: Bioequivalence
• Philosophical Foundations of Statistics
• Philosophy of Probability, The
• Point Processes
• Poisson Distribution and Its Application in Statistics
• Poisson Processes
• Poisson Regression
• Population Projections
• Portfolio Theory
• Posterior Consistency in Bayesian Nonparametrics
• Post-selection Inference
• Power Analysis
• Practical and Adaptive Modeling for SARS-CoV-2
• Preprocessing in Data Mining
• Presentation of Statistical Testimony, On the
• Principal Component Analysis
• Principles Underlying Econometric Estimators for Identifying Causal Effects, The
• Prior Bayes: My View of Statistics
• Priors
• Probabilistic Network Models
• Probability on Compact Lie Groups
• Probability Theory: An Outline
• Probit Analysis
• Promoting, Fostering and Development of Statistics in Developing Countries
• Properties of Estimators
• Proportions, Inferences, and Comparisons
• Psychological Testing Theory
• Public Opinion Polls
• P-Value Chronicles, The: Unmasking Fourteen Widespread Misconceptions
• P-Values
• P-Values, Combining of
• Pyramid Schemes
• Python Unveiled: Bridging Simplicity and Innovation in Modern Computing
• Qualitative Sigma: Qualitative Application of Six Sigma Thinking
• Quantiles, Expectiles, and Regression
• Quantitative Risk Management
• Questionnaire
• Queueing Theory
• R Language, The
• Radon-Nikodým Theorem, The
• Random Coefficient Models
• Random Field
• Random Matrix Theory
• Random Ordinary Differential Equations
• Random Permutations and Partition Models
• Random Variable
• Random Walk
• Randomization
• Randomization Tests
• Rank Transformations
• Ranked Set and Judgment Post Stratified Sampling
• Ranking and Selection Procedures and Related Inference Problems
• Ranks
• Rao-Blackwell Theorem
• Rao–Lovric Theorem and the Paradigm Shift in Hypothesis Testing
• Rating Scales
• Recent Advances in Stochastic Modeling
• Recent Developments on Skewed Data Analysis
• Record Statistics
• Recursive Partitioning
• Reevaluating One-Sided Null Hypotheses: Identifying and Avoiding Common Pitfalls
• Regression Diagnostics
• Regression Models with Increasing Numbers of Unknown Parameters
• Regression Models with Symmetrical Errors
• Relationship Between Statistical and Engineering Process Control
• Relationships Among Univariate Statistical Distributions
• Renewal Processes
• Representative Samples
• Research Designs
• Residuals
• Resolution of the Jeffreys–Lindley Paradox via Interval-Null Hypotheses
• Response Surface Methodology
• Response-Adaptive Designs
• Ridge and Surrogate Ridge Regressions
• Rise of Statistics in the Twenty-First Century, The
• Risk Analysis
• Robust Inference
• Robust Regression Estimation in Generalized Linear Models
• Robust Statistical Methods
• ROC Curves
• Role of Statistics in Advancing Quantitative Education, The
• Role of Statistics, The
• Role of Statistics, The: Developing Country Perspective
• Rubin Causal Model
• Saddlepoint Approximations
• Sample Size Determination
• Sample Space, Probability Space, and Sampling Space
• Sample Survey Methods
• Sampling Algorithms
• Sampling Distribution, The
• Sampling from Finite Populations
• Sampling Problems for Stochastic Processes
• Scales of Measurement and Choice of Statistical Methods
• Seasonal Integration and Cointegration in Economic Time Series
• Seasonality
• Selection of Appropriate Statistical Methods in Developing Countries
• Semiparametric Regression Models
• Semi-Variance in Finance
• Sensitivity Analysis
• Sensometrics
• Sequential Monte Carlo
• Sequential Order Statistics
• Sequential Probability Ratio Test
• Sequential Ranks
• Sequential Sampling
• Severe Testing
• Sign Test, The
• Significance Tests
• Significance Tests (Critique)
• Significance Tests, History and Logic of
• Simes’ Test in Multiple Testing
• Simple Linear Regression
• Simple Random Sample
• Simpson Paradox
• Simulation Based Bayes Procedures for Model Structures with Non-elliptical Posteriors
• Single and Multicomponent Stress-Strength Reliability
• Singular Spectrum Analysis
• Singular Spectrum Analysis for Time Series
• SIPOC and COPIS: The Business Flow—Business Optimization in a Six Sigma Context
• Six Sigma
• Skewness
• Skew-Normal Distribution
• Skew-Symmetric Families of Distributions
• Small Area Estimation
• Smoothing Splines
• Smoothing Techniques
• Social Network Analysis
• Social Statistics
• Software Packages for Bayesian Analysis
• Some Challenges Facing Federal Statistics in the United States
• Spatial Point Pattern
• Spatial Sampling
• Spatial Statistics
• Spectral Analysis
• Spreadsheets in Statistics
• Spurious Correlation
• Square-Root Allocation Rule
• St. Petersburg Paradox, The
• Stable Distributions
• Standard Deviation
• Stationary Increments
• Stationary Stochastic Sequences Filtering
• Statistical Analysis of Drug Release Data Within the Pharmaceutical Sciences, The
• Statistical Analysis of Longitudinal and Correlated Data
• Statistical Approaches to Protecting Confidentiality in Public Use Data
• Statistical Aspects of Hurricane Modeling and Forecasting
• Statistical Consulting
• Statistical Design of Experiments (DOE)
• Statistical Distributions: Overview
• Statistical Ecology
• Statistical Estimation of Actuarial Risk Measures for Heavy-Tailed Claim Amounts
• Statistical Evidence
• Statistical Fallacies
• Statistical Fallacies, Misconceptions, and Myths
• Statistical Genetics
• Statistical Inference
• Statistical Inference for Quantum Systems
• Statistical Inference for Stochastical Processes
• Statistical Inference in Ecology
• Statistical Inference: Overview
• Statistical Literacy, Reasoning, and Thinking
• Statistical Methods for Diagnostic Accuracy Studies
• Statistical Methods for Non-precise Data
• Statistical Methods in Epidemiology
• Statistical Model for Pancreatic Cancer Disease
• Statistical Model of Alzheimer’s Disease, The
• Statistical Modeling in Market Research
• Statistical Modeling of Global Warming
• Statistical Modeling of Parkinson’s Disease
• Statistical Modelling of Financial Markets
• Statistical Natural Language Processing
• Statistical Parametric Mapping for FMRI Data Analysis
• Statistical Pattern Recognition Principles
• Statistical Process Control: Recent Advances
• Statistical Quality Control
• Statistical Reproducibility
• Statistical Signal Processing
• Statistical Software: Overview
• Statistical View of Information Theory, A
• Statistics and Climate Change
• Statistics and Gambling
• Statistics and the Law
• Statistics Education
• Statistics in Agriculture
• Statistics in Banking
• Statistics in Biopharmaceutical Research
• Statistics in Insurance
• Statistics in Marine Research
• Statistics in Medical Research
• Statistics in Psychiatry
• Statistics in Psychology
• Statistics in Sport
• Statistics of Extremes
• Statistics on Ranked Lists
• Statistics Role in Environmental Monitoring
• Statistics, Targeted Clinical Trials, Big data, Stratified and Personalized Medicines
• Statistics: An Overview
• Statistics: Controversies in Practice
• Statistics: Personal View
• Stem-and-Leaf Plot
• Step-Stress Accelerated Life Tests
• Stochastic Differential Equations
• Stochastic Global Optimization
• Stochastic Modeling Analysis and Applications
• Stochastic Models of Finite-Velocity Transport Processes
• Stochastic Processes
• Stochastic Processes: Applications in Finance and Insurance
• Stochastic Processes: Classification
• Stratified Sampling
• Strong Approximations in Probability and Statistics
• Structural Equation Models
• Structural Time Series Models
• Student T Distribution, The
• Studentized Statistics, Internally and Externally
• Student’s t-Tests
• Sturges’ and Scott’s Rules
• Sufficient Statistical Information
• Sufficient Statistics
• Summarizing Data with Boxplots
• Superpopulation Models in Survey Sampling
• Surprisal
• Surrogate Paradox
• Surveillance
• Survival Data
• Survival Signature for System Reliability
• Target Estimation: A New Approach to Parametric Estimation
• Telephone Sampling: Frames and Selection Techniques
• Testing Exponentiality of Distribution
• Testing Variance Components in Mixed Linear Models
• Tests for Discriminating Separate or Non-nested Models
• Tests for Homogeneity of Variance
• Tests of Fit Based on the Empirical Distribution Function
• This Is Robust Statistics
• Time Series
• Time Series Regression
• Total Survey Error
• Tour on Reliability, A
• Tourism Statistics
• Trend Estimation
• Truncated Moments
• Tukey-Type Distributions: An Overview
• Two-Stage Least Squares
• Unbiased Estimators and Their Applications
• Uniform Distribution in Statistics
• Uniform Experimental Design
• Uniform Random Number Generators
• Univariate Discrete Distributions: Overview
• Unveiling the Integral Role of Statistical Inference in Scientific Advancements: A Comprehensive Rebuttal
• Using Decision Trees for the Teaching of Statistical Estimation
• Using Time Series Models to Determine the Death Rate of a Given Disease
• U-Statistics
• Vaccine Efficacy Trials
• Variables
• Variance, the Notion and Applications in Science and Real Life
• Variation for Categorical Variables
• Vector Autoregressive Models
• Weak Convergence of Probability Measures
• Weibull Distribution, The
• Weighted Correlation
• Weighted U-Statistics
• What Is the Relationship Between Probability Theory and Fuzzy Set Theory?
• Wilcoxon-Mann-Whitney Test
• Wilcoxon-Signed-Rank Test

（紀伊國屋書店　学術洋書部）