Probability and statistics

This book is devoted to aspects of the foundations of quantum mechanics in which probabilistic and statistical concepts play an essential role.

Describes the selection, design, theory, and application of tests for normality.

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data).

This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage.

In recent years, there has been a tremendous development in the area of quantitative and statistical analysis of linguistic and literary data, generated, no doubt, by extensive advances in computer technology and their relatively easy availability to scholars.

Nonlinear and nonnormal filters are introduced and developed.

Complex Survey Data Analysis with SAS(R) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors.

Unlock the future of technology with this captivating exploration of swarm intelligence.

Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world.

Statistical Parameters is a unique new guide to current statistical methods and research.

Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research.

The Routledge Companion to Philosophy of Physics is a comprehensive and authoritative guide to the state of the art in the philosophy of physics.

Ole Martin extends well-established techniques for the analysis of high-frequency data based on regular observations to the more general setting of asynchronous and irregular observations.

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as fit for purpose procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions

?

In many statistical applications the scientists have to analyze the occurrence of observed clusters of events in time or space.

Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods.

Environmental Data Analysis is an introductory statistics textbook for environmental science.

This work presents exciting new developments in understanding the subdominant exponential terms of asymptotic expansions which have previously been neglected.

This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods.

This book reflects on 8 decades of research on one of the longest-standing unsolved problems in modern astrophysics: why does the Sun form a hot corona?

R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics outputs.

Inequalities of Ostrowski and Trapezoidal Type for Functions of Selfadjoint Operators on Hilbert Spaces presents recent results concerning Ostrowski and Trapezoidal type inequalities for continuous functions of bounded Selfadjoint operators on complex Hilbert spaces.

It is a distinct pleasure to be invited to prepare a short Foreword to Biomedical Research: How to plan, publish and present it, by William F.

Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle.

A unique resource introducing graduate students and researchers in astronomy to advanced statistics through ready-to-use code.

Malliavin Calculus in Finance: Theory and Practice aims to introduce the study of stochastic volatility (SV) models via Malliavin Calculus.

The present lecture notes describe stochastic epidemic models and methods for their statistical analysis.

A major challenge in applied mathematics and mechanics of materials is to describe various types of material microstructures.

Actuarial loss models are statistical models used by insurance companies to estimate the frequency and severity of future losses, set premiums, and reserve funds to cover potential claims.

Chances Are is the first book to make statistics accessible to everyone, regardless of how much math you remember from school.

This book gives you a step-by-step introduction to analysing time series using the open source software R.

Empirical measurement of impacts of active labour market programmes has started to become a central task of economic researchers.

Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009).

This volume deals with the applications of matroid theory to a variety of topics.

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies.

"e;.

Introduction to Probability Models, Fifth Edition focuses on different probability models of natural phenomena.

This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression.

A brain explains?

This book addresses the underlying foundational elements, both theoretical and methodological, of sponsored search.

Subjective Well-Being and Social Media shows how, by exploiting the unprecedented amount of information provided by the social networking sites, it is possible to build new composite indicators of subjective well-being.

Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available.