Probability and statistics

The 2nd edition of this successful book has several new features.

A unique and timely monograph, Visualization of Categorical Data contains a useful balance of theoretical and practical material on this important new area.

This book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs.

Sports analytics is on the rise, with top soccer clubs, bookmakers, and broadcasters all employing statisticians and data scientists to gain an edge over their competitors.

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This monograph presents a modern treatment of (1) stochastic differential equations and (2) diffusion and jump-diffusion processes.

Praise for the Second Edition "e;All statistics students and teachers will find in this book a friendly and intelligentguide to .

This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena.

Now in its third edition and supplemented with more online material, this book aims to make the "e;new"e; information-based (rather than gene-based) bioinformatics intelligible both to the "e;bio"e; people and the "e;info"e; people.

This book is written for the love of numbers.

Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP.

As operations research (OR) applications continue to grow and flourish in a number of decision making fields, a reference that is comprehensive, concise, and easy to read is more than a nicety, it is a necessity.

A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water.

This book provides a concise yet rigorous introduction to probability theory.

This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods.

This monograph is focused on the derivations of exact distributions of first boundary crossing times of Poisson processes, compound Poisson processes, and more general renewal processes.

Get going with tidymodels, a collection of R packages for modeling and machine learning.

Die Arbeitsgemeinschaft für Chirurgische Onkologie (ACO) der Österreichi­ schen Gesellschaft für Chirurgie besteht jetzt seit dem 28.

How can we give data physical form?

This book is dedicated to Prof.

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others.

When a doctor tells you there's a one percent chance that an operation will result in your death, or a scientist claims that his theory is probably true, what exactly does that mean?

The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables.

This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models.

Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors.

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields.

This book gives a description of the group of statistical distributions that have ample application to studies in statistics and probability.

This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research.

This work is a detailed description of different discrete and continuous univariate and multivariate distributions with applications in economics, different financial problems, and other scenarios in which these recently developed statistical models have been applied in recent years.

In this book we analyze the error caused by numerical schemes for the approximation of semilinear stochastic evolution equations (SEEq) in a Hilbert space-valued setting.

The methodological needs of environmental studies are unique in the breadth of research questions that can be posed, calling for a textbook that covers a broad swath of approaches to conducting research with potentially many different kinds of evidence.

Estimating unknown parameters based on observation data conta- ing information about the parameters is ubiquitous in diverse areas of both theory and application.

This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity.

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.

Basic Statistics for Social Workers, now in a revised edition, was developed by Schneider after teaching statistics to undergraduate and graduate social work students for over ten years.

With a foreword by Major-General Nico Geerts, Commander Netherlands Defence Academy, Breda, The NetherlandsInternational conflict resolution increasingly involves the use of non-military power and non-kinetic capabilities alongside military capabilities in the face of hybrid threats.

This book introduces the reader to Six Sigma, a problem-solving technique for reducing defects and variation in processes.

A jargon-free introduction for students and researchers looking to interpret the practical significance of their results.

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply.

This book first provides a review of various aspects of Bayesian statistics.

Conceiving reliablesystems is a strategic issue for any industrial society.

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power.

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.

Statistical distributions are essential tools to model the characteristics of datasets, such as right or left skewness, bi-modality or multi-modality observed in different applied sciences, such as engineering, medicine, and finance.