Probability and statistics

Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory.

This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years.

Missing data pose challenges to real-life data analysis.

This book systematically presents the topological structure of solution sets and attractability for nonlinear evolution inclusions, together with its relevant applications in control problems and partial differential equations.

This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models.

This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017.

Understanding the functioning of ecosystems requires the understanding of the interactions between consumer species and their resources.

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis.

The vast majority of important applications in science, engineering and applied science are characterized by the existence of multiple minima and maxima, as well as first, second and higher order saddle points.

Este texto es una introducción a las incertidumbres para estudiantes que comienzan carreras en el área de ciencias e ingeniería.

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world.

Although a useful and important tool, the potential of mathematical modelling for decision making is often neglected.

Big data: It's unstructured, it's coming at you fast, and there's lots of it.

The classic edition of What If There Were No Significance Tests?

This book addresses one of the most important research activities in empirical macroeconomics.

This text presents the basic theory of random walks on infinite, finitely generated groups, along with certain background material in measure-theoretic probability.

This book focuses on recent advances, approaches, theories and applications related to mixture models.

This book constitutes the refereed proceedings of the 22nd International Conference on Distributed and Computer and Communication Networks, DCCN 2019, held in Moscow, Russia, in September 2019.

This monograph grew out of a project which was sponsored by the Swiss National Foundation ("e;Schweizerischer Nationalfonds"e;) under grant no.

Die Institution des Notdienstes, der regelmäßig die Telefonanamnese einsetzt, verdeutlicht in quantifizierbarer Weise den Wert dieser spezifischen Anamneseform für die allgemeinärztliche Praxis.

This book focuses on quantitative approximation results for weak limit theorems when the target limiting law is infinitely divisible with finite first moment.

Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of JapanDeveloped by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling.

This book synthesizes the game-theoretic modeling of decision-making processes and an ancient moral requirement called the Golden Rule of ethics (GR).

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.

Outside of randomized experiments, association does not imply causation, and yet there is nothing defective about our knowledge that smoking causes lung cancer, a conclusion reached in the absence of randomized experimentation with humans.

This book teaches powerful methods to test hypotheses using statistical arguments without the constraints and sophisticated mathematics of classical statistics.

This book presents state-of-the-art research in political economy dealing with the decision making process under different political institutions.

The central concepts in this book are Lebesgue measure and the Lebesgue integral.

Geocomputation with Python is a comprehensive resource for working with geographic data with the most popular programming language in the world.

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty.

This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics.

Large area sky surveys are now a reality in the radio, IR, optical and X-ray passbands.

This volume consists of 22 research papers by leading researchers in Probability and Statistics.

Containing many results that are new, or which exist only in recent research articles, this thoroughly revised third edition of Interest Rate Modeling: Theory and Practice, Third Edition portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation.

Higher-Order Differential Equations and Elasticity is the third book within Ordinary Differential Equations with Applications to Trajectories and Vibrations, Six-volume Set.

Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.

Stochastik ist zugleich die Mathematik des Zufalls und eine interdisziplinäre Wissenschaft mit stetig wachsender Bedeutung.

Unlike mathematics, statistics deals with real-world data and involves a higher degree of subjectivity due to the role of interpretation.

Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods.

Expanding on the first edition of An Introduction to Continuous-Time Stochastic Processes, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes.

Anhand vieler Anwendungsbeispiele aus den Wirtschafts- und Sozialwissenschaften
bietet dieses Buch eine praxisorientierte Einführung in die deskriptive und induktive
Statistik sowie in die Grundlagen der Wahrscheinlichkeitsrechnung.

This is a book about the scientific process and how you apply it to data in ecology.

This book has two main purposes.

This book of lecture notes contains theoretical background material required for computer generation of random fields, which is of interest in various fields of applied mathematics.

These notes revolve around three similarity problems, appearing in three dif- ferent contexts, but all dealing with the space B(H) of all bounded operators on a complex Hilbert space H.

El objetivo de este libro es poner a disposición del público académico propuestas de aula surgidas en este nicho de perfeccionamiento, de manera que permita a otros académicos afrontar con mayor seguridad y rigurosidad la enseñanza de la estadística y las probabilidades.

The noncommutative versions of fundamental classical results on the almost sure convergence in L2-spaces are discussed: individual ergodic theorems, strong laws of large numbers, theorems on convergence of orthogonal series, of martingales of powers of contractions etc.