Probability and statistics

A Cohesive Approach to Regression ModelsConfidence Intervals in Generalized Regression Models introduces a unified representation-the generalized regression model (GRM)-of various types of regression models.

New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues.

This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector.

Data graphics are used extensively to present information.

Data graphics are used extensively to present information.

A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to inference: the inferential model (IM) framework.

This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models.

Risk Analysis in Engineering and Economics is required reading for decision making under conditions of uncertainty.

This book provides an introductory overview of random variables and their transformations.

This book provides an introductory overview of random variables and their transformations.

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas.

From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields.

Keine ausführliche Beschreibung für "Statistische Theorie der Zuverlässigkeit" verfügbar.

Unlike other books about R, written from the perspective of statistics, this book is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R.

Since the publication of the popular first edition, the contributed R packages on CRAN have increased from around 1,000 to over 6,000.

This book provides a self-contained account of continuous-parameter time series, starting with second-order models.

Keine ausführliche Beschreibung für "Handbuch der Bedienungstheorie I" verfügbar.

This work was prepared to serve as an R supplement for textbooks on Linear Statistical Models.

This book demonstrates how to create commonly used figures and plots with SAS/GRAPH and ODS Graphics procedures.

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics.

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management.

This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields.

Clustering remains a vibrant area of research in statistics.

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management.

This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference.

Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations.

This book explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies.

Keine ausführliche Beschreibung für "Handbuch zur Anwendung" verfügbar.

This book focuses on the fundamental principles behind scientific methods.

More work is being done in the statistical aspects of medical imaging, and this book fills the gap to provide a unified framework of study by presenting a complete look at medical imaging and statistics - from the statistical aspects of imaging technology to the statistical analysis of images.

This volume provides an overview of two of the most important examples of interacting particle systems, the contact process, and the voter model, as well as their many variants introduced in the past 50 years.

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

Compound Poisson approximation appears naturally in situations where one deals with a large number of rare events.

Giving much more attention to noninferiority testing, this second edition provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets.

This book discusses various partitioning strategies tailored for traditional machine learning algorithms.

This textbook presents the fundamental economic dimensions of insurance companies and links them to managerial issues.

Statistical Methods Using SPSS provides a practical approach for better understanding of the advanced statistical concepts that are applied in business, economics, epidemiology, public health, agriculture and other areas of data analytics.

Compound Poisson approximation appears naturally in situations where one deals with a large number of rare events.

No detailed description available for "e;Stochastic Geometry and Its Applications"e;.

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data.