Statistical Inference

Stress Testing and Risk Integration in Banks: A Statistical Framework and Practical Software Guide (in Matlab and R) provides a comprehensive view of risk management that emphasizes the stress testing

"In its revised and updated fourth edition, this exhaustive encyclopedia provides a record of casualties of war from the last five centuries through 2015, with new statistical and analytical informati

This book consolidates and extends the authors’ work on the connection between iconicity and abductive inference. It emphasizes a pragmatic, experimental and fallibilist view of knowledge without sacr

This book constitutes the refereed proceedings of the 4th International Conference on Statistical Language and Speech Processing, SLSP 2016, held in Pilsen, Czech Republic, in October 2016. The 11 ful

The rich set of examples and problems integrated throughout this book will help readers gain a better understanding of where and how to apply Statistical Quality Control (SQC) tools. Real projects, ca

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact a

This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to u

Many of the actions performed from by a statistical software comes back to handle,down to manipulating or even transforming digital data, which actually representing statistical data literally.It is t

This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wi

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well

Managers need access to some statistical advice from time to time to help in solving business problems. Students need access to statistical methods to support work in non-statistics courses, case stud

This book is the outcome of the CIMPA School on Statistical Methods and Applications in Insurance and Finance, held in Marrakech and Kelaat M'gouna (Morocco) in April 2013. It presents two lectures an

This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main emphasis is on the application of statistical methods, theoretical aspects

The book answers long-standing questions on scientific modeling and inference across multiple perspectives and disciplines, including logic, mathematics, physics and medicine. The different chapters c

This book constitutes the thoroughly refereed post-workshop proceedings of 6th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, ST

A new structure of local government, the contemporary village panchayat, has emerged in rural India as a consequence of the Constitution (73rd Amendment) Act, 1992. This new statistical domain require

In medical and health care the scientific method is little used, and statistical software programs are experienced as black box programs producing lots of p-values, but little answers to scientific qu

This edited book brings together statistical methods in all nonclinical areas of pharma/biotech industries and promote nonclinical statistics as a discipline. In the last Nonclinical Statistical Leade

As statistical methods play key roles in the design and analysis of toxicological studies, toxicologists, especially those not educated in statistics, require good statistical guidance to follow. Writ

This book serves as an introduction to the statistics programme Stata. The primary audience is students and others using statistical software for the first time. Experienced users of other statistical

Managers need access to some statistical advice from time to time to help in solving business problems. Students need access to statistical methods to support work in non-statistics courses, case stud

This book assesses the respective prospects of two competing methodological approaches to the study of meaning and communication, as well as truth and inference, each figuring prominently within the a

Ntoumanis and Myers have done sport and exercise science researchers and students a tremendous service in producing An Introduction to Intermediate and Advanced Statistical Analyses for Sport and

A practitioner’s tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning metho

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problemsAbout This BookUnderstand the principles of Bayesian Inference with less mathematical

This book constitutes the refereed proceedings of the Third International Conference on Statistical Language and Speech Processing, SLSP 2015, held in Budapest, Hungary, in November 2015. The 26 full

This book brings together an influential sequence of papers that argue for a radical re-conceptualisation of the psychology of inference, and of cognitive science more generally. The papers demonstrat

Classicists and scholars of religion engage with social, cultural, personal, religious, and other categories of identity in Christian Rome and Byzantium. The 23 papers examine such topics as inference

Phil Johnson-Laird's theory of mental models has proved to be an influential development in the cognitive sciences. This theory aims to provide a detailed account of both reasoning and inference on th

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Fréchet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicia

This book presents case studies in statistical computing for data analysis. Each case study addresses a statistical application with a focus on comparing different computational approaches and explain

Inferencing is defined as 'the act of deriving logical conclusions from premises known or assumed to be true', and it is one of the most important processes necessary for successful comprehension during reading. This volume features contributions by distinguished researchers in cognitive psychology, educational psychology, and neuroscience on topics central to our understanding of the inferential process during reading. The chapters cover aspects of inferencing that range from the fundamental bottom-up processes that form the basis for an inference to occur, to the more strategic processes that transpire when a reader is engaged in literary understanding of a text. Basic activation mechanisms, word-level inferencing, methodological considerations, inference validation, causal inferencing, emotion, development of inferences processes as a skill, embodiment, contributions from neuroscience, and applications to naturalistic text are all covered as well as expository text, online learning

Mapping the Germans explores the development of statistical science and cartography in Germany between the beginning of the nineteenth century and the start of World War One, examining their impact on

This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples

Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first com

Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods.Pareto Distributions, Second E

This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the in

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challeng

A concise, thoroughly class-tested primer that features basic statistical concepts in the context of analytics, resampling, and the bootstrapA uniquely developed presentation of key statistical topics

In this sophisticated quantitative study, Joseph T. Glatthaar provides a comprehensive narrative and statistical analysis of many key aspects of General Robert E. Lee's Army of Northern Virginia. Serv