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Statistics and Data with R
Statistics and Data with RR, an Open Source software, has become the de facto statistical computing environment. It has an exc...
Sensitivity Analysis in Linear Regression
Sensitivity Analysis in Linear RegressionTreats linear regression diagnostics as a tool for application of linear regression models to real-l...
Permutation Tests for Complex Data
Permutation Tests for Complex DataComplex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
Bayesian Models for Categorical Data
Bayesian Models for Categorical DataThe use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as...
Computation for the Analysis of Designed Experiments
Computation for the Analysis of Designed ExperimentsAddresses the statistical, mathematical, and computational aspects of the construction of packages a...
Survival Models and Data Analysis
Survival Models and Data AnalysisSurvival analysis deals with the distribution of life times, essentially the times from an initiatin...
Statistical Analysis with Missing Data
Statistical Analysis with Missing DataPraise for the First Edition of Statistical Analysis with Missing Data «An important contribution to...
Survey Measurement and Process Quality
Survey Measurement and Process QualityAn in-depth look at current issues, new research findings, and interdisciplinary exchange in survey...
Structural Equations with Latent Variables
Structural Equations with Latent VariablesAnalysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated...
Nonresponse in Household Interview Surveys
Nonresponse in Household Interview SurveysA comprehensive framework for both reduction of nonresponse and postsurvey adjustment for nonrespons...
A Probabilistic Analysis of the Sacco and Vanzetti Evidence
A Probabilistic Analysis of the Sacco and Vanzetti EvidenceA Probabilistic Analysis of the Sacco and Vanzetti Evidence is a Bayesian analysis of the trial and...
Geometrical Foundations of Asymptotic Inference
Geometrical Foundations of Asymptotic InferenceDifferential geometry provides an aesthetically appealing and often revealing view of statistical in...
A Weak Convergence Approach to the Theory of Large Deviations
A Weak Convergence Approach to the Theory of Large DeviationsApplies the well-developed tools of the theory of weak convergence of probability measures to large...
Hilbert Space Methods in Probability and Statistical Inference
Hilbert Space Methods in Probability and Statistical InferenceExplains how Hilbert space techniques cross the boundaries into the foundations of probability and s...
Forecasting with Dynamic Regression Models
Forecasting with Dynamic Regression ModelsOne of the most widely used tools in statistical forecasting, single equation regression models is e...
Leading Personalities in Statistical Sciences
Leading Personalities in Statistical SciencesA fascinating chronicle of the lives and achievements of the men and women who helped shapethe scien...
Counting Processes and Survival Analysis
Counting Processes and Survival AnalysisThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessib...
Runs and Scans with Applications
Runs and Scans with ApplicationsExpert practical and theoretical coverage of runs and scans This volume presents both theoretical an...
Statistical Models and Methods for Lifetime Data
Statistical Models and Methods for Lifetime DataPraise for the First Edition «An indispensable addition to any serious collection on lifetime data a...
Statistical Models for Causal Analysis
Statistical Models for Causal AnalysisSimplifies the treatment of statistical inference focusing on how to specify and interpret models in...