Все книги жанра естественные науки - Страница 170
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Introduction to Statistical Time Series Introduction to Statistical Time Series
The subject of time series is of considerable interest, especially among researchers in econometrics...
Statistics and Data with R Statistics and Data with R
R, an Open Source software, has become the de facto statistical computing environment. It has an exc...
Permutation Tests for Complex Data Permutation Tests for Complex Data
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
Sensitivity Analysis in Linear Regression Sensitivity Analysis in Linear Regression
Treats linear regression diagnostics as a tool for application of linear regression models to real-l...
Bayesian Models for Categorical Data Bayesian Models for Categorical Data
The 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 Experiments
Addresses the statistical, mathematical, and computational aspects of the construction of packages a...
Survival Models and Data Analysis Survival Models and Data Analysis
Survival analysis deals with the distribution of life times, essentially the times from an initiatin...
Statistical Analysis with Missing Data Statistical Analysis with Missing Data
Praise for the First Edition of Statistical Analysis with Missing Data «An important contribution to...
Nonresponse in Household Interview Surveys Nonresponse in Household Interview Surveys
A comprehensive framework for both reduction of nonresponse and postsurvey adjustment for nonrespons...
Survey Measurement and Process Quality Survey Measurement and Process Quality
An in-depth look at current issues, new research findings, and interdisciplinary exchange in survey...
Structural Equations with Latent Variables Structural Equations with Latent Variables
Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated...
Hilbert Space Methods in Probability and Statistical Inference Hilbert Space Methods in Probability and Statistical Inference
Explains how Hilbert space techniques cross the boundaries into the foundations of probability and s...
Geometrical Foundations of Asymptotic Inference Geometrical Foundations of Asymptotic Inference
Differential 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 Deviations
Applies the well-developed tools of the theory of weak convergence of probability measures to large...
A Probabilistic Analysis of the Sacco and Vanzetti Evidence A Probabilistic Analysis of the Sacco and Vanzetti Evidence
A Probabilistic Analysis of the Sacco and Vanzetti Evidence is a Bayesian analysis of the trial and...
Counting Processes and Survival Analysis Counting Processes and Survival Analysis
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessib...
Runs and Scans with Applications Runs and Scans with Applications
Expert practical and theoretical coverage of runs and scans This volume presents both theoretical an...
Leading Personalities in Statistical Sciences Leading Personalities in Statistical Sciences
A fascinating chronicle of the lives and achievements of the men and women who helped shapethe scien...
Forecasting with Dynamic Regression Models Forecasting with Dynamic Regression Models
One of the most widely used tools in statistical forecasting, single equation regression models is e...
Statistical Models for Causal Analysis Statistical Models for Causal Analysis
Simplifies the treatment of statistical inference focusing on how to specify and interpret models in...