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Measuring society

ASA-CRC series on statistical reasoning in science and society

Nagaraja, Chaitra H

[2020]

Signatur: TKM5300

Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan

Kruschke, John K

Ed. 2, 2015

Signatur: TKM5245(2)

The BUGS book : a practical introduction to Bayesian analysis

Texts in statistical science

Lunn, David

2013

Signatur: TKM5253

Large-scale inference : empirical Bayes methods for estimation, testing, and prediction

Institute of Mathematical Statistics monographs : 1 (Alle Bände)

Efron, Bradley

1. paperback ed, 2013

Signatur: TKM5287

Long-memory processes : probabilistic properties and statistical methods

Beran, Jan

2013

Signatur: TKM5261

Bayesian reasoning and machine learning

Barber, David

2012

Signatur: TKM5279

Doing Bayesian data analysis : a tutorial introduction with R and BUGS

Kruschke, John K

2011

Signatur: TKM5245

Oracle inequalities in empirical risk minimization and sparse recovery problems : Ecole d'Eté de Probabilités de Saint-Flour XXXVIII - 2008

Lecture notes in mathematics : 2033 (Alle Bände)

Koltchinskii, Vladimir

2011

Signatur: TKM5211

Nonparametric regression and spline smoothing

Statistics : 157 (Alle Bände)

Eubank, Randall L

2. ed., [Nachdr.], 2010

Signatur: TKM3633(2)

Nonparametric functional data analysis : theory and practice

Springer series in statistics

[Nachdr.], 2010

Signatur: TKM5172

Applied smoothing techniques for data analysis : the kernel approach with S-Plus illustrations

Oxford statistical science series : 18 (Alle Bände), Oxford science publications

Repr, 2010

Signatur: TKM5198

Applied functional data analysis : methods and case studies

Springer series in statistics

[Nachdr.], 2010

Signatur: TKM5180

Handbook of partial least squares : concepts, methods and applications

Springer handbooks of computational statistics

Esposito Vinzi, Vincenzo[Herausgeber]

2010

Signatur: QFD7447

A first course in Bayesian statistical methods

Springer texts in statistics

Hoff, Peter D

2009

Signatur: TKM5237

Decision theory : principles and approaches

Wiley series in probability and statistics

2009

Signatur: TKM5295

The EM algorithm and extensions

Wiley series in probability and statistics

2. ed, 2008

Signatur: TKM5164(2)

Bayesian networks and decision graphs

Information science and statistics

2. ed, 2007

Signatur: TKM5025(2)

Models for discrete data

Zelterman, Daniel

Rev. ed, 2006

Signatur: TKM5122

Principles of statistical inference

Cox, David R

2006

Signatur: TKM5130

Statistics for real-life sample surveys : non-simple-random samples and weighted data

2006

Signatur: QFD6645

Essentials of statistical inference

Cambridge series in statistical and probabilistic mathematics : 16 (Alle Bände)

2005

Signatur: TKK7580

Statistical models : theory and practice

Freedman, David

2005

Signatur: TKM5148

Testing statistical hypotheses

Springer texts in statistics

3. ed, 2005

Signatur: TKM1063(3)

Schließende Statistik : grundlegende Methoden

EmileA-stat

2005

Signatur: TKM5041

Linear regression analysis

Wiley series in probability and statistics, A John Wiley & Sons publication

2. ed, 2003

Signatur: TKM1770(2)

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Measuring society

Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan

The BUGS book : a practical introduction to Bayesian analysis

Large-scale inference : empirical Bayes methods for estimation, testing, and prediction

Long-memory processes : probabilistic properties and statistical methods

Bayesian reasoning and machine learning

Doing Bayesian data analysis : a tutorial introduction with R and BUGS

Oracle inequalities in empirical risk minimization and sparse recovery problems : Ecole d'Eté de Probabilités de Saint-Flour XXXVIII - 2008

Nonparametric regression and spline smoothing

Nonparametric functional data analysis : theory and practice

Applied smoothing techniques for data analysis : the kernel approach with S-Plus illustrations

Applied functional data analysis : methods and case studies

Handbook of partial least squares : concepts, methods and applications

A first course in Bayesian statistical methods

Decision theory : principles and approaches

The EM algorithm and extensions

Bayesian networks and decision graphs

Models for discrete data

Principles of statistical inference

Statistics for real-life sample surveys : non-simple-random samples and weighted data

Essentials of statistical inference

Statistical models : theory and practice

Testing statistical hypotheses

Schließende Statistik : grundlegende Methoden

Linear regression analysis

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