Probability and statistics

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results.

This book provides new theoretic and applied material with focus on quantitative methods and data analysis techniques applied in demography, population studies, health issues and statistics.

For this printing of R.

This book covers applications of fractional calculus used for medical and health science.

The present textbook contains the recordsof a two-semester course on que- ing theory, including an introduction to matrix-analytic methods.

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered within the LISA 2020 Global Network.

Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous-time financial models, emphasizing both analytical and probabilistic methods.

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences.

This second edition has all the tables required for elementary statistical methods in the social, business and natural sciences.

Die zunehmende Bedeutung der Statistik hat zur Folge, dass grundlegende Ken- nisse der statistischen Methodenlehre notwendig sind, um gesellschaftliche wie betriebliche Zusammenhänge erkennen und darstellen zu können.

Probability limit theorems in infinite-dimensional spaces give conditions un- der which convergence holds uniformly over an infinite class of sets or functions.

This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures.

'Eye-opening.

The breadth of information about operations research and the overwhelming size of previous sources on the subject make it a difficult topic for non-specialists to grasp.

This thoroughly practical and engaging textbook conveys the skills needed to responsibly develop, conduct, scrutinize, and interpret statistical analyses, without requiring any high-level math.

In recent years, many pharmaceutical companies and clinical research organizations have been focusing on the development of traditional Chinese (herbal) medicines (TCMs) as alternatives to treating critical or life-threatening diseases and as pathways to personalized medicine.

Currently, the techniques of operation research are widely used in every aspect of day-to-day life.

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date source on the latest advances in thisfield has arisen.

This book provides axioms of partial order and some basic material, for example consequences of "e;criss-crossing"e; of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis.

Quantitative Modeling of Derivative Securities demonstrates how to take the basic ideas of arbitrage theory and apply them - in a very concrete way - to the design and analysis of financial products.

The object of queueing theory (or the theory of mass service) is the investigation of stochastic processes of a special form which are called queueing (or service) processes in this book.

Fuzzy Logic is an analytical tool used in the modeling of those phenomena that fall outside the scope of exact sciences.

This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods.

This text is intended to provide a strong theoretical background in testing hypotheses and decision theory for those who will be practicing in the real worldorwhowillbeparticipatinginthetrainingofreal-worldstatisticiansand biostatisticians.

This 1997 book explores the role of probabilistic methods for solving combinatorial problems.

This book constitutes the refereed proceedings of the 20th European Workshop on Computer Performance Engineering, EPEW 2024, held in Venice, Italy, on June 14, 2024.

This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains.

This essential textbook presents the basics of dental statistics in an accessible way, combining explanation in non-technical language with key messages, practical examples, suggestions for further reading and exercises complete with detailed solutions.

With this collections volume, some of the important works of Willem van Zwet are moved to the front layers of modern statistics.

This book contains a series of original contributions in the area of Stochastic Dynamics, which demonstrates the impact of Mike Lin's research and teaching in the area of random vibration and structural dynamics.

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever.

Praise for the First Edition extremely well written a comprehensive and up-to-date overview of this important field.

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series.

This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024.

Technological improvements continue to push back the frontier of processor speed in modern computers.

In this edition a large number of errors have been corrected, an occasional proof has been streamlined, and a number of references are made to recent pro- gress.

Statistics Explained is an accessible introduction to statistical concepts and ideas.

Gene mapping is used in experimental genetics to improve the hardiness or productivity of animals or plants of agricultural value, to explore basic mechanisms of inheritance, or to study animal models of human inheritance.

Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals.

This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2017, held in Newcastle-upon-Tyne UK, in July 2017.

Praise for the First Edition If there is anything you want to know, or remind yourself, about probabilities, then look no further than this comprehensive, yet wittily written and enjoyable, compendium of how to apply probability calculations in real-world situations.

Data Science in Practice is the ideal introduction to data science.

Patients are not alike!