Probability and statistics

The guidance and special techniques provided in this handbook will allow you to understand and use complex spatial statistical techniques.

Conjoint analysis (CA) and discrete choice experimentation (DCE) are tools used in marketing, economics, transportation, health, tourism, and other areas to develop and modify products, services, policies, and programs, specifically ones that can be described in terms of attributes.

This book presents the theory and methods of flexible and generalized uncertainty optimization.

This book aims to provide a systematic approach to the design, assessment, operation, and maintenance of safety barriers that are used for preventing accidents and protecting humans, equipment, and the environment.

Written by one of the top most statisticians with experience in diverse fields of applications of statistics, the book deals with the philosophical and methodological aspects of information technology, collection and analysis of data to provide insight into a problem, whether it is scientific research, policy making by government or decision making in our daily lives.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the third of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into the techniques and interpretations of R, SPSS , Excel , and Numbers output An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via research-based data sets in biology, kinesiology, and physical anthropology.

Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software.

This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than upon how to calculate the necessary estimates.

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data.

This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data.

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions.

This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.

The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Levy processes.

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks.

This book contains articles arising from a conference in honour of mathematician-statistician Mikl?

Matrix Games, Programming, and Mathematical Economics deals with game theory, programming theory, and techniques of mathematical economics in a single systematic theory.

Providing an introduction to the theory of nonlinear Fokker-Planck equations, this book discusses fundamental properties of transient and stationary solutions, emphasizing the stability analysis of stationary solutions by means of self-consistency equations, linear stability analysis, and Lyapunov's direct method.

Exercises for Section 2 42 Physical sciences and engineering 42 43 Biological sciences 45 Social sciences Solutions to Exercises, Section 1 47 Physical sciences and engineering 47 49 Biological sciences 49 Social sciences Solutions to Exercises, Section 2 51 51 PhYSical sciences and engineering 55 Biological sciences 58 Social sciences 62 Tables 2 62 x - tests involving variances 2 63,64 x - one tailed tests 2 65 x - two tailed tests F-distribution 66-69 Preface This project started some years ago when the Nuffield Foundation kindly gave a grant for writing a pro- grammed text to use with service courses in statistics.

The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions.

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications.

This is an introductory book on discrete statistical distributions and its applications.

Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes.

This greatly expanded new edition offers a comprehensive introduction to randomization and probabilistic techniques in modern computer science.

Quadratic programming is a mathematical technique that allows for the optimization of a quadratic function in several variables.

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate).

Foundational research focuses on the theory, but theories are to be related also to other theories, experiments, facts in their domains, data, and to their uses in applications, whether of prediction, control, or explanation.

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards.

This book was written for those who need to know how to collect, analyze and present data.

Describes computational methods for parametric and nonparametric modeling of stochastic dynamics.

Based on the syllabus of the actuarial profession courses on general insurance pricing - with additional material inspired by the author's own experience as a practitioner and lecturer - Pricing in General Insurance, Second Edition presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate.

This book explores the analysis of social phenomena, using a multidisciplinary approach while addressing statistical, economic, sociological, as well as psychological issues.

This book presents the refereed proceedings of the 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held in Linz, Austria, and organized by the Johannes Kepler University Linz and the Austrian Academy of Sciences, in July 2022.

Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade.

Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data.

This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment.

This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data.

The authors believe that a proper treatment of probability theory requires an adequate background in the theory of finite measures in general spaces.

Making Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project.

This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly.

Queueing Theory deals with systems where there is contention for resources, but the demands are only known probabilistically.

This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems.

Dieses Buch soll Studierende als auch Doktoranden motivieren, eigene Studien mit dem richtigen Untersuchungsdesign zu planen und durchzuführen.

This book is aimed at both experts and non-experts with an interest in getting acquainted with sequence spaces, matrix transformations and their applications.