Probability and statistics

This book offers a detailed review of perturbed random walks, perpetuities, and random processes with immigration.

Gerade deskriptive statistische Methoden haben in vielen wissenschaftlichen Disziplinen eine große Bedeutung.

Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences.

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach.

Nonlinear Programming, 4 focuses on linear, quadratic, and nonlinear programming, unconstrained minimization, nonsmooth and discrete optimization, ellipsoidal methods, linear complementarity problems, and software evaluation.

This book presents recent advances in branching Brownian motion from the perspective of extreme value theory and statistical physics, for graduates.

Daten sind Gold.

Are you buying a car or smartphone or dishwasher?

The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory.

Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts.

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes.

Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues.

Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data.

The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results.

The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis).

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

The contents of this monograph approximate the lectures I gave In a graduate course at Stanford University in the first half of 1981.

Renowned probability theorist Edward O.

Numerical Methods of Mathematical Optimization: With ALGOL and FORTRAN Programs reviews the theory and the practical application of the numerical methods of mathematical optimization.

Probability Measures on Metric Spaces presents the general theory of probability measures in abstract metric spaces.

In this Information Age, the practices of clinical medicine should no longer be based on what clinical doctors actively know.

This vital work for researchers and graduate students focuses on resilience estimation and control of cyber-physical networked systems using attacker-defender game theory.

the virtual impossibility of extracting the many different species from a habitat with equal efficiency by a single method (e.

Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks.

Essentials of Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives.

The book presents, for the first time, a detailed analysis of harmonizable processes and fields (in the weak sense) that contain the corresponding stationary theory as a subclass.

Boiled-down essentials of the top-selling Schaum's Outline series, for the student with limited timeWhat could be better than the bestselling Schaum's Outline series?

This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flows in product quadratic and cubic systems.

This book aims to highlight the latest achievements in epidemiological surveillance and internet interventions based on monitoring online communications and interactions on the web.

Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distinctive challenges primarily due to their sequential decision-making nature and complex data structures.

Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas.

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy.

Statistical Analysis: A Computer Oriented Approach discusses the probabilistic foundations of statistics, the standard statistical inference procedures, regression, and correlation analysis.

Statistics is confusing, even for smart, technically competent people.

The purpose of these notes is to explore some simple relations between Markovian path and loop measures, the Poissonian ensembles of loops they determine, their occupation fields, uniform spanning trees, determinants, and Gaussian Markov fields such as the fre field.

This book examines the pattern of growth of the Spanish economy in the last few decades, and studies the causes of its labour productivity, and the special features characterising business cycles in Spain.

Providing the expertise of an internal business consultant to one of the largest issuers of mortgage securities, Investing in Mortgage Securities serves as a high-level introduction to mortgage securities presented within the framework of fixed income securities.

This book presents the continual reassessment method (CRM) as a tool for dose-finding studies.

1Statistics of Financial Markets presents in a vivid yet concise style the necessary statistical and mathematical background for Financial Engineers and introduces to the main ideas in mathematical finance and financial statistics.

This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies.

This book seeks new perspectives on the growing inequalities that our societies face, putting forward Structured Additive Distributional Regression as a means of statistical analysis that circumvents the common problem of analytical reduction to simple point estimators.

interest in a particular application, however, often depends on his or hergeneralinterestintheareainwhichtheapplicationistakingplace.

In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data.

Martingale Methods in Statistics provides a unique introduction to statistics of stochastic processes written with the author's strong desire to present what is not available in other textbooks.

The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design.

The special manifolds of interest in this book are the Stiefel manifold and the Grassmann manifold.