Probability & Statistics

This book is a collection of selected research papers presented at the Mathematics, Statistics and Computing Technology (ICMSCT2023), held at the U...

Agent-based Models and Causal Inference Scholars of causal inference have given little credence to the possibility that ABMs could be an important ...

Many historical processes are dynamic. Populations grow and decline. Empires expand and collapse. Religions spread and wither. Natural scientists h...

A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics This exhau...

Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to unde...

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine lea...

Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This bo...

Guesstimation 2.0 reveals the simple and effective techniques needed to estimate virtually anything--quickly--and illustrates them using an eclecti...

This book is a concise hands-on guide that provides students a useful tool for a systematic approach to scientific inquiry. Science Theory for Engi...

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context o...

Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Econom...

The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them.  In particular, determin...

Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden the...

Mathematics of Tabletop Games provides a bridge between mathematics and hobby tabletop gaming. Instead of focusing on games mathematicians play, su...

Starting with the Shannon-Wiener approach to mathematical information theory, allowing a mathematical measurement of an amount of information, the ...

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-M...

This book helps readers bridge the gap between school-level mathematical skills and the quantitative and analytical skills required at the professi...

This book helps readers bridge the gap between school-level mathematical skills and the quantitative and analytical skills required at the professi...

This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, ...

There are many guidelines, protocols and advisories that outline how biosafety and biosecurity can be adopted by institutions around the world. Whi...

This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and st...

Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work. But dont let that daunt you....

Fine-tune your marketing research with this cutting-edge statistical toolkit Bayesian Statistics and Marketing illustrates the potential for apply...

Das Übungsbuch stellt eine ausgesuchte Sammlung von Problemstellungen und Lösungen bereit, die durch eine  Formelsammlung mit den wichtigsten im Bu...

Nominal yields on government debt in several countries have fallen very near their zero lower bound (ZLB), causing a liquidity trap and limiting th...

Dieses Buch zeigt an einfachen Beispielen, wozu mathematisches Verständnis (neben reinen Rechenfertigkeiten) in den Fächern der Betriebs- und Volks...

Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and st...

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This b...

This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concept...

This book provides an introduction to the common research methodology specific to clinical epidemiology for both students and researchers. The goal...

Become more likely to succeedgain stats mastery with Dummies Statistics: 1001 Practice Problems For Dummies gives you 1,001 opportunities to practi...