Probability and statistics

Statistical Parameters is a unique new guide to current statistical methods and research.

Although no-one is, probably, too enthused about the idea, it is a fact that the development of most empirical sciences to a great extent depends on the development of data analysis methods and techniques, which, due to the necessity of application of computers for that purpose, actually means that it practically depends on the advancement and orientation of computer statistics.

This book focuses on the fundamental principles behind scientific methods.

Linear Algebra to Differential Equations concentrates on the essential topics necessary for all engineering students in general and computer science branch students, in particular.

Practical Business Statistics, Eighth Edition, offers readers a practical, accessible approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness.

This two-part volume gathers extended conference abstracts corresponding to selected talks from the "e;Biostatnet workshop on Biomedical (Big) Data"e; and from the "e;DoReMi LD-RadStats: Workshop for statisticians interested in contributing to EU low dose radiation research"e;, which were held at the Centre de Recerca Matematica (CRM) in Barcelona from November 26th to 27th, 2015, and at the Institut de Salut Global ISGlobal (former CREAL) from October 26th to 28th, 2015, respectively.

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property.

This book delves into contemporary business analytics techniques across sectors for critical decision-making.

Approach your problems from the It isn't that they can't see the solution.

Analyses bond market models with Lévy stochastic factors, suitable for graduates and researchers in probability and mathematical finance.

Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations.

Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater.

The series is devoted to the publication of high-level monographs and surveys which cover the whole spectrum of probability and statistics.

The Athens Conference on Applied Probability and Time Series in 1995 brought together researchers from across the world.

This book is an introductionary course in stochastic ordering and dependence in the field of applied probability for readers with some background in mathematics.

This book provides the statistical basis for quantitative risk management by presenting and explaining the most important distributions.

This book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics.

Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue.

This book presents a collection of papers on topics in the field of strategic mine planning, including orebody modeling, mine-planning optimization and the optimization of mining complexes.

Dealing with Uncertainties is an innovative monograph that lays special emphasis on the deductive approach to uncertainties and on the shape of uncertainty distributions.

Artificial Intelligence Assisted Structural Optimization explores the use of machine learning and correlation analysis within the forward design and inverse design frameworks to design and optimize lightweight load-bearing structures as well as mechanical metamaterials.

This book introduces computational advertising, and Internet monetization.

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error.

Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other.

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science.

The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test procedures.

This book is a collaborative effort from three workshops held over the last three years, all involving principal contributors to the vine-copula methodology.

These proceedings of the conference Advances in Statistical Mechanics, held in Marseille, France, August 2018, focus on fundamental issues of equilibrium and non-equilibrium dynamics for classical mechanical systems, as well as on open problems in statistical mechanics related to probability, mathematical physics, computer science, and biology.

Ziel dieses Lehrbuches ist es, den Leser so schnell wie möglich in die Lage zu versetzen, Daten sinnvoll auszuwerten.

The First Collection That Covers This Field at the Dynamic Strategic and One-Period Tactical Levels.

This book introduces linear transformation and its key results, which have applications in engineering, physics, and various branches of mathematics.

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences.

This book is intended for university seniors and graduate students majoring in probability theory or mathematical finance.

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis.

Crafts of Simulation Programs is a collection of tools, techniques and theories required to develop and implement simulation models on a computer.

In the last decade, both scholars and practitioners have sought novel ways to address the problem of cybersecurity.

This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes.

This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership, and to familiarize readers with RODEs themselves as well as the closely associated theory of random dynamical systems.

The intention of this collection agrees with the purposes of the homonymous mini-symposium (MS) at ICIAM-2019, which were to overview the essentials of geometric calculus (GC) formalism, to report on state-of-the-art applications showcasing its advantages and to explore the bearing of GC in novel approaches to deep learning.

This is a classic book on Queues.

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB, Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions.

The book includes articles from eminent international scientists discussing a wide spectrum of topics of current importance in mathematics and statistics and their applications.

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 2003 book summarizes theoretical developments in statistical tools to measure financial markets, for students and professionals in econophysics and analytical markets.

'An authoritative survey with exciting new insights of special interest to economists and econometricians who analyse intertemporal and interspatial price relationships.

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you!