Springer Statistics Nonparametric Curve Estimation: Methods Theory and Applications Hardcover from other stores
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Springer Statistics Nonparamet...
This self-contained book is an introduction to nonparametric curve estimation ...
This self-contained book is an introduction to nonparametric curve estimation theory.
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Springer Statistics Nonparamet...
This self-contained book is an introduction to nonparametric curve estimation ...
This self-contained book is an introduction to nonparametric curve estimation theory.
more
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Springer Statistics Prior Proc...
This book presents a systematic and comprehensive treatment of various prior p...
This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition...
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Springer Statistics Statistics...
This valuable compendium of statistical methods features a unique combination ...
This valuable compendium of statistical methods features a unique combination of methodology theory algorithms and applications. It covers recently developed approaches to handling large and complex data sets including the Lasso and boosting methods.
more
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Springer Statistics Prior Proc...
This book presents a systematic and comprehensive treatment of various prior p...
This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition...
more
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Mathematics and Its Applicatio...
Et moi ... si. j avail su comment en revenir. One service mathematics has rend...
Et moi ... si. j avail su comment en revenir. One service mathematics has rendered !be human race. It has put common sense back jc n y scrais point a1U: where it belongs on the topmost sbelf next Jules Verne to \be dusty canister labelled discarded...
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Statistics for Social and Beha...
A Course on Small Area Estimation and Mixed Models: Methods Theory and Applica...
A Course on Small Area Estimation and Mixed Models: Methods Theory and Applications in R
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Springer Statistics Introducti...
This book will be a valuable reference for researchers in the eare of nonparam...
This book will be a valuable reference for researchers in the eare of nonparametrics.
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Springer Statistics Approximat...
This book is designed as a unified and mathematically rigorous treatment of so...
This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its...
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Springer Texts in Statistics R...
This book now in its fourth printing provides an introduction to the theory of...
This book now in its fourth printing provides an introduction to the theory of regression analysis at a graduate level.
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Springer Statistics Statistics...
This valuable compendium of statistical methods features a unique combination ...
This valuable compendium of statistical methods features a unique combination of methodology theory algorithms and applications. It covers recently developed approaches to handling large and complex data sets including the Lasso and boosting methods.
more
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Springer Statistics Combinator...
This book will be of interest to statistical researchers working in the area o...
This book will be of interest to statistical researchers working in the area of nonparametric density estimation.
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Springer Statistics Semiparame...
Standard methods for estimating empirical models in economics and many other f...
Standard methods for estimating empirical models in economics and many other fields rely on strong assumptions about functional forms and the distributions of unobserved random variables. Often it is assumed that functions of interest are linear or...
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Pre-Owned Concepts of Nonparam...
This book explores both non parametric and general statistical ideas by develo...
This book explores both non parametric and general statistical ideas by developing non parametric procedures in simple situations. The major goal is to give the reader a thorough intuitive understanding of the concepts underlying nonparametric...
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Springer Statistics Nonparamet...
This book links two fields of modern statistics by explaining how functional d...
This book links two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. This book starts from theoretical foundations including functional nonparametric modelling description of the...
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