Probability and statistics

This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes.

Dieses Buch zeigt neue Wege zur Ausgestaltung der Einkommens- und Unternehmensbesteuerung auf.

The Applied and Numerical Harmonic Analysis (ANHA) book series aims to provide the engineering, mathematical, and scienti?

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R.

Stochastic differential equations, and Hoermander form representations of diffusion operators, can determine a linear connection associated to the underlying (sub)-Riemannian structure.

This volume constitutes the papers of the 3rd International Workshop on Active Inference, IWAI 2022, held in Grenoble, France, in conjunction with ECML/PKDD, on September 19, 2022.

Wallis's book on discrete mathematics is a resource for an introductory course in a subject fundamental to both mathematics and computer science, a course that is expected not only to cover certain specific topics but also to introduce students to important modes of thought specific to each discipline .

This book provides a concise point of reference for the most commonly used regression methods.

This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples.

We have written this book as a guide to the design and analysis of field studies of resource selection, concentrating primarily on statistical aspects of the comparison of the use and availability of resources of different types.

This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques.

This contributed volume presents an overview of concepts, methods, and applications used in several quantitative areas of drug research, development, and marketing.

This book encompasses empirical evidences to understand the application of data analytical techniques in emerging contexts.

A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and introduces basic statistical concepts along the way.

This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation.

Improving the quality of products and manufacturing processes at low cost is an economic and technological challenge to industrial engineers and managers alike.

Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in understanding discrete-state discrete-time processes across a wide spectrum of scientific disciplines.

This is a development of the book entitled Multidimensional Second Order Stochastic Processes.

This volume is based on the invited and the contributed presentations given at the Indo-U.

Indirect questioning is a crucial topic in surveys of human populations.

Critical Appraisal of Medical Literature provides a step-by-step approach to help the reader reach a good level of proficiency in systematic critical appraisal of medical information.

This short book provides a unified view of the history and theory of random sets and fuzzy random variables, with special emphasis on its use for representing higher-order non-statistical uncertainty about statistical experiments.

This textbook integrates the teaching and learning of statistical concepts with the acquisition of the Stata (version 16) software package.

mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R.

This text on stochastic processes and their applications is based on a set of lectures given during the past several years at the University of California, Santa Barbara (UCSB).

Provides a concise yet complete foundational knowledge of the business of healthcare.

An introductory text for students taking a first course in statistics-in fields as diverse as engineering, business, chemistry, and biology-Essential Statistics: Fourth Edition thoroughly updates and enhances the hugely successful third edition.

Cancer is a dreaded disease.

Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.

This textbook shows how to bring theoretical concepts from finance and econometrics to the data.

Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events.

Recent advances in digitization are transforming healthcare, education, tourism, information technology, and some other sectors.

This book introduces stochastic processes and their applications for students in engineering, industrial statistics, science, operations research, business, and finance.

This authored monograph presents a mathematical description of the time evolution of neutral genomic regions in terms of the differential Lyapunov equation.

Linear prediction theory has had a profound impact in the field of digital signal processing.

Optimality Conditions in Convex Optimization explores an important and central issue in the field of convex optimization: optimality conditions.

This book walks you through learning probability and statistics from a Bayesian point of view.

This book describes, extends, and illustrates the metrics of binary classification through worked examples.

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016.

What role, if any, does formal logic play in characterizing epistemically rational belief?

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning.

This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science.