Probability and statistics

This book closes the gap between what people think Excel can do and what they can achieve in the tool.

This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same.

Sergio Albeverio gave important contributions to many fields ranging from Physics to Mathematics, while creating new research areas from their interplay.

This book provides a comprehensive guidance for the use of sound statistical methods and for the evaluation of fatigue data of welded components and structures obtained under constant amplitude loading and used to produce S-N curves.

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R.

The main subject of the book is stochastic analysis and its various applications to mathematical finance and statistics of random processes.

SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS.

Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library.

torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research.

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language.

Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library.

torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research.

This book presents recent advances of Bayesian inference in structured tensor decompositions.

This text provides a concise introduction, suitable for a one-semester special topicscourse, to the remarkable properties of Gaussian measures on both finite and infinitedimensional spaces.

In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains.

Based on the careful analysis of several hundred publications, this book uniformly describes basic methods of analysis and critical results of the theory of retrial queues.

Based on the careful analysis of several hundred publications, this book uniformly describes basic methods of analysis and critical results of the theory of retrial queues.

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications.

A disease is defined as rare if the prevalence is fewer than 200,000 in the United States.

A disease is defined as rare if the prevalence is fewer than 200,000 in the United States.

Fully updated to reflect the 2022 ASQ Certified Six Sigma Black Belt (CSSBB) Body of Knowledge (BoK), The ASQ Certified Six Sigma Black Belt Handbook, Fourth Edition is ideal for candidates studying for the CSSBB examination.

'A great introduction to a crucial topic' Bill Gates'Perhaps the most popular book on statistics ever published .

Records arise naturally in many fields of study such as climatology, sports, science, engineering, medicine, traffic, and industry, among others.

El lector encontrara en este libro una compilacion detallada y analizada de 14 propuestas de ensenanza, organizadas en cinco capitulos referidos a tematicas propias del ambito de la Estocastica (estadistica descriptiva, analisis exploratorio de datos, medidas de tendencia central, probabilidad, entre otras), todas estas acompanadas de una ficha que contienen informacion tecnica y didactica para poder orientar de la mejor manera la implementacion de tales propuestas en el aula de matematicas.

In the midst of the fourth industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists.

This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.

This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems.

Statistical distributions are essential tools to model the characteristics of datasets, such as right or left skewness, bi-modality or multi-modality observed in different applied sciences, such as engineering, medicine, and finance.

Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field.

Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field.

Statistical distributions are essential tools to model the characteristics of datasets, such as right or left skewness, bi-modality or multi-modality observed in different applied sciences, such as engineering, medicine, and finance.

Why let other people explain the world to you?

Why let other people explain the world to you?

This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools.

As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Bela Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford.

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This book introduces the advances in synchromodal logistics and provides a framework to classify various optimisation problems in this field.

This book provides a compact introduction to the theory of measure-valued branching processes, immigration processes and Ornstein-Uhlenbeck type processes.

This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems.

This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language.

This book is designed to be an introductory course to some basic chapters of Advanced Mathematics for Engineering and Physics students, researchers in different branches of Applied Mathematics and anyone wanting to improve their mathematical knowledge by a clear, live, self-contained and motivated text.

This book constitutes the refereed proceedings of the 18th European Workshop on Computer Performance Engineering, EPEW 2022, held in Santa Pola, Spain, in September 2022.

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking.

Die Nettorisikoprämie als kalkulatorischer Kern der Versicherungsprämie ist für den Wettbewerb von großer Bedeutung.

This book aims to work out the distributed economic operation in smart grids in a systematic way, which ranges from model-based to model-free perspectives.

Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations.

This book is a detailed introduction to selective maintenance and updates readers on recent advances in this field, emphasizing mathematical formulation and optimization techniques.

This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR).