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Statistical Modelling

True Digital Control: Statistical Modelling and Non-Minimal State Space Design  eBooks & eLearning

Posted by DZ123 at May 23, 2019
True Digital Control: Statistical Modelling and Non-Minimal State Space Design

C. James Taylor, Peter C. Young, Arun Chotai, "True Digital Control: Statistical Modelling and Non-Minimal State Space Design"
English | 2013 | ISBN: 1118521218 | PDF | pages: 343 | 2.3 mb

Case Studies in Bayesian Statistical Modelling and Analysis  eBooks & eLearning

Posted by interes at April 11, 2019
Case Studies in Bayesian Statistical Modelling and Analysis

Case Studies in Bayesian Statistical Modelling and Analysis by Clair L. Alston, Kerrie L. Mengersen and Anthony N. Pettitt
English | 2012 | ISBN: 1119941822 | 598 pages | PDF | 11,8 MB

Statistical Modelling with Quantile Functions (Repost)  eBooks & eLearning

Posted by step778 at Dec. 10, 2018
Statistical Modelling with Quantile Functions (Repost)

Warren Gilchrist, "Statistical Modelling with Quantile Functions"
2000 | pages: 301 | ISBN: 1584881747 | PDF | 8,4 mb

Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers  eBooks & eLearning

Posted by AvaxGenius at July 11, 2018
Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers

Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers by Gilbert MacKenzie
English | PDF(Repost),EPUB | 2014 | 250 Pages | ISBN : 3319045784 | 6.44 MB

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, © Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the four areas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural dispersion, just to mention two examples. The contributors include distinguished international statisticians such as Philip Hougaard, John Hinde, Il Do Ha, Roger Payne and Alessandra Durio, among others, as well as promising newcomers. Some of the contributions have come from researchers working in the BIO-SI research programme on Biostatistics and Bioinformatics, centred on the Universities of Limerick and Galway in Ireland and funded by the Science Foundation Ireland under its Mathematics Initiative.

Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 1, 2018
Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers (Repost)

Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers by Gilbert MacKenzie
English | PDF(Repost),EPUB | 2014 | 250 Pages | ISBN : 3319045784 | 6.44 MB

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, © Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the four areas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural dispersion, just to mention two examples. The contributors include distinguished international statisticians such as Philip Hougaard, John Hinde, Il Do Ha, Roger Payne and Alessandra Durio, among others, as well as promising newcomers. Some of the contributions have come from researchers working in the BIO-SI research programme on Biostatistics and Bioinformatics, centred on the Universities of Limerick and Galway in Ireland and funded by the Science Foundation Ireland under its Mathematics Initiative.

Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 13, 2018
Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers (Repost)

Statistical Modelling in Biostatistics and Bioinformatics: Selected Papers by Gilbert MacKenzie
English | PDF,EPUB | 2014 | 250 Pages | ISBN : 3319045784 | 6.44 MB

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, © Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the four areas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural dispersion, just to mention two examples.

Bayesian Statistical Modelling (repost)  eBooks & eLearning

Posted by arundhati at Sept. 16, 2018
Bayesian Statistical Modelling (repost)

Peter Congdon, "Bayesian Statistical Modelling"
2007 | ISBN: 0470018755 | 596 pages | PDF | 3 MB

Statistical Modelling of Molecular Descriptors in QSAR/QSPR [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Oct. 11, 2018
Statistical Modelling of Molecular Descriptors in QSAR/QSPR [Repost]

Matthias Dehmer, Kurt Varmuza, Danail Bonchev - Statistical Modelling of Molecular Descriptors in QSAR/QSPR
Published: 2012-03-26 | ISBN: 3527324348 | PDF | 456 pages | 5.43 MB

Distributions With Given Marginals and Statistical Modelling  eBooks & eLearning

Posted by fdts at Oct. 16, 2016
Distributions With Given Marginals and Statistical Modelling

Distributions With Given Marginals and Statistical Modelling
by Carles M. Cuadras, Josep Fortiana, José A. Rodríguez-Lallena
English | 2002 (2013) | ISBN: 9048161363 | 244 pages | PDF | 7.57 MB

Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach  eBooks & eLearning

Posted by AvaxGenius at Jan. 3, 2018
Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach

Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach By Il Do Ha
English | PDF,EPUB | 2017 | 288 Pages | ISBN : 9811065551 | 9.52 MB

This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The approach presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration.