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Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis wi

This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand;

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Predictive Inference

of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive;

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Predictive Inference

of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive;

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Statistical Inference for Fractional Diffusion Processes

of the book is to consider parametric and nonparametric inference problems for fractional diffusion processes when a complete path of the process;

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Statistical Inference

solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical;

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Statistical Inference

solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical;

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Constrained Statistical Inference

means* Tests in general parametric models* Likelihood and alternatives* Analysis of categorical data* Inference on monotone density function;

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Nonparametric Inference on Manifolds

establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both;

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Nonparametric Inference On Manifolds

establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both;

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Nonparametric Statistical Methods And Related Topics

-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic;

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Advances In Statistical Modeling And Inference

transformation models, nonparametric regression and mixture models, survival and reliability analysis, and re-sampling techniques. With its coverage;

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Introduction to Probability Theory and Statistical Inference

-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.;

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Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth;

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Frontiers In Statistics

have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric;

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Frontiers In Statistics

have contributed 16 review articles and 6 research articles covering areas including semi-parametric models, data analytical nonparametric;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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Statistical Paradigms

This volume consists of a collection of research articles on classical and emerging Statistical Paradigms parametric, non-parametric and;

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Handbook Of Applied Econometrics And Statistical Inference

Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;

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Handbook Of Applied Econometrics And Statistical Inference

Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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Nonparametric Statistical Methods Using R

language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems;

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Nonparametric Statistical Methods Using R

gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and;

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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Mathematical Statistics

estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter;

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