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Bayes Factors for Forensic Decision Analyses with R
Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability—keeping theoretical and philosophical justifications limited. It offers a balanced approach to three natural…
- Edition
- 1
- ISBN/ISSN
- 978-3-031-09839-0
- Collation
- -
- Series Title
- Springer Texts in Statistics
- Call Number
- XII, 187
Elements of Probability and Statistics An Introduction to Probability with d…
This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate – but introduces as fundamental the concept of random numbers d…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-07254-8
- Collation
- 6 b/w illustrations, 27 illustrations in colour
- Series Title
- -
- Call Number
- -
Vector Generalized Linear and Additive Models With an Implementation in R
This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be …
- Edition
- -
- ISBN/ISSN
- 978-1-4939-2818-7
- Collation
- -
- Series Title
- -
- Call Number
- -
Mathematical Statistics
This book presents a detailed description of the development of statistical theory. In the mid twentieth century, the development of mathematical statistics underwent an enduring change, due to the advent of more refined mathematical tools. New concepts like sufficiency, superefficiency, adaptivity etc. motivated scholars to reflect upon the interpretation of mathematical concepts in terms of t…
- Edition
- 1
- ISBN/ISSN
- 978-3-642-31084-3
- Collation
- Mathematics
- Series Title
- Springer Series in Statistics
- Call Number
- 510
Encyclopedia of Big Data
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and c…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-32010-6
- Collation
- Manajemen
- Series Title
- -
- Call Number
- 658
Indexation and Causation of Financial Markets
This book presents a new statistical method of constructing a price index of a financial asset where the price distributions are skewed and heavy-tailed and investigates the effectiveness of the method. In order to fully reflect the movements of prices or returns on a financial asset, the index should reflect their distributions. However, they are often heavy-tailed and possibly skewed, and …
- Edition
- -
- ISBN/ISSN
- 978-4-431-55275-8
- Collation
- X, 103
- Series Title
- -
- Call Number
- 621
Group-Sequential Clinical Trials with Multiple Co-Objectives
This book focuses on group sequential methods for clinical trials with co-primary endpoints based on the decision-making frameworks for: (1) rejecting the null hypothesis (stopping for efficacy), (2) rejecting the alternative hypothesis (stopping for futility), and (3) rejecting the null or alternative hypothesis (stopping for either futility or efficacy), where the trial is designed to evaluat…
- Edition
- -
- ISBN/ISSN
- 978-4-431-55898-9
- Collation
- IX, 113
- Series Title
- -
- Call Number
- 530 HAM g
Regression Modeling Strategies: With Applications to Linear Models, Logistic …
This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address…
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- -
- ISBN/ISSN
- -
- Collation
- -
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- Call Number
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Uncertainty The Soul of Modeling, Probability & Statistics
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book…
- Edition
- -
- ISBN/ISSN
- 978-3-319-39756-6
- Collation
- -
- Series Title
- -
- Call Number
- -
Topological and Statistical Methods for Complex Data Tackling Large-Scale, H…
This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data. The book presents new met…
- Edition
- -
- ISBN/ISSN
- 978-3-662-44900-4
- Collation
- -
- Series Title
- -
- Call Number
- -
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