Advances in Statistical Modeling and Inference Book [PDF] Download

Download the fantastic book titled Advances in Statistical Modeling and Inference written by Vijay Nair, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Advances in Statistical Modeling and Inference", which was released on 03 June 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Advances in Statistical Modeling and Inference by Vijay Nair PDF

There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference. All of these developments have, in turn, stimulated new research in theoretical statistics. This volume provides an up-to-date overview of recent advances in statistical modeling and inference. Written by renowned researchers from across the world, it discusses flexible models, semi-parametric methods and transformation models, nonparametric regression and mixture models, survival and reliability analysis, and re-sampling techniques. With its coverage of methodology and theory as well as applications, the book is an essential reference for researchers, graduate students, and practitioners.


Detail About Advances in Statistical Modeling and Inference PDF

  • Author : Vijay Nair
  • Publisher : World Scientific
  • Genre : Mathematics
  • Total Pages : 698 pages
  • ISBN : 9812708294
  • PDF File Size : 51,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Advances in Statistical Modeling and Inference

Advances in Statistical Modeling and Inference
  • Publisher : World Scientific
  • File Size : 54,7 Mb
  • Release Date : 03 June 2024
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There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the

Statistical Modeling and Computation

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  • Publisher : Springer Science & Business Media
  • File Size : 27,8 Mb
  • Release Date : 18 November 2013
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This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and

New Developments in Statistical Modeling, Inference and Application

New Developments in Statistical Modeling, Inference and Application
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  • File Size : 53,6 Mb
  • Release Date : 28 October 2016
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The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical

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Advances in Mathematical and Statistical Modeling
  • Publisher : Springer Science & Business Media
  • File Size : 27,7 Mb
  • Release Date : 09 April 2009
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Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical

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  • File Size : 34,7 Mb
  • Release Date : 28 March 2021
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Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical

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  • Publisher : Cambridge University Press
  • File Size : 34,8 Mb
  • Release Date : 03 June 2024
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David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.

Handbook of Statistical Genomics

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  • Publisher : John Wiley & Sons
  • File Size : 52,8 Mb
  • Release Date : 09 July 2019
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A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for

Statistical Foundations, Reasoning and Inference

Statistical Foundations, Reasoning and Inference
  • Publisher : Springer Nature
  • File Size : 28,7 Mb
  • Release Date : 30 September 2021
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This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression,