Probability Models, Volume 51 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on Stein's methods, Probabilities and thermodynamics third law, Random Matrix Theory, General tools for understanding fluctuations of random variables, An approximation scheme to compute the Fisher-Rao distance between multivariate normal distributions, Probability Models Applied to Reliability and Availability Engineering, Backward stochastic differential equation- Stochastic optimization theory and viscous solution of HJB equation, and much more.
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences.
Mit diesem Buch gelingt dem Autor des bekannten Lehrwerkes Stochastik für Einsteiger auf geradezu spielerische Weise, den Leser mit zahlreichen überraschenden Zufallsphänomenen und Nicht-Standard-Grenzwertsätzen im Zusammenhang mit einfachen Irrfahrten und verwandten Themen zu fesseln.
Exploring a vast array of topics related to computation, Computing: A Historical and Technical Perspective covers the historical and technical foundation of ancient and modern-day computing.
Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool.
This volume presents a comprehensive collection of the latest research findings supporting the current and future implementations and applications of computerized multistage testing (MST).
Kriging can be used to determine optimal unbiased predictions for regionalized variables and has been shown to be a powerful tool in slope reliability analysis for reliability-based design.
Using examples from mathematics, mechanical and electrical engineering, and control and signal processing, this book provides an introduction to MATLAB and Simulink and examines the advantages and limitations of both.
A team of ASQ Fellows has created this study guide with new questions predominantly based on the best-selling third edition of The Certified Six Sigma Green Belt Handbook.
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature.
Dieses Lehrbuch vermittelt Studierenden der Wirtschaftswissenschaften die allgemeinen mathematischen Grundlagen sowie die wichtigsten Begriffe und Ideen aus Analysis, Linearer Algebra, Linearer Optimierung und Finanzmathematik.
Dieses Lehrbuch vermittelt Studierenden der Wirtschaftswissenschaften die allgemeinen mathematischen Grundlagen sowie die wichtigsten Begriffe und Ideen aus Analysis, Linearer Algebra, Linearer Optimierung und Finanzmathematik.
Dieses Buch deckt alle relevanten mathematischen Themen eines Grundstudiums der Natur- oder Ingenieurwissenschaften ab, von der Analysis (inklusive einer ausführlichen Behandlung gewöhnlicher Differentialgleichungen mitsamt Modellierungsaspekten) und der linearen Algebra bis hin zu den wichtigsten Lösungsmethoden für partielle Differentialgleichungen.
Dieses einführende Lehrbuch zeigt den gesamten Weg von der elementaren Ermittlung von Wahrscheinlichkeiten bis zur Erstellung theoretischer Wahrscheinlichkeitsverteilungen auf.
The conical approach provides a geometrical understanding of optimization and is a powerful research tool and useful problem-solving technique (for example, in decision support and real time control applications).
Functional Analysis for the Applied Mathematician is a self-contained volume providing a rigorous introduction to functional analysis and its applications.
Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics.
Mathematical Modelling with Case Studies: Using Maple and MATLAB, Third Edition provides students with hands-on modelling skills for a wide variety of problems involving differential equations that describe rates of change.
Incorporating a collection of recent results, Polya Urn Models deals with discrete probability through the modern and evolving urn theory and its numerous applications.
Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective.
This textbook provides a concise introduction to the differential geometry of curves and surfaces in three-dimensional space, tailored for undergraduate students with a solid foundation in mathematical analysis and linear algebra.
The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools.
This book presents ideas and procedures for regression analysis of survival data in cancer chemotherapy based on regression-based approaches for improvements in the quality of care through the effective location of optimal treatment levels.
The author, a respected authority on heat recovery, provides up-to-date and comprehensive coverage of the modelling of the process of heat transfer embodied in regenerative devices.
