Математика

Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-ap…

Features a solid foundation of mathematical and computational tools to formulate and solve real-world PDE problems across various fields With a step-b…

The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based p…

"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr. Ian Evett, Pri…

A new edition of this classic work, comprehensively revised to present exciting new developments in this important subject The study of numerical meth…

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Mu…

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly t…

A practical guide for determining the evidential value of physicochemical data Microtraces of various materials (e.g. glass, paint, fibres, and petrol…

Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making situations…

A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and …

2017 PROSE Award Honorable Mention The PROSE Awards draw attention to pioneering works of research and for contributions to the conception, production…

This book presents research work into the reliability of drinking water pipes. The infrastructure of water pipes is susceptible to routine failures, n…

Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to f…

A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social…

Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in unders…

Computers are ubiquitous throughout all life-cycle stages of engineering, from conceptual design to manufacturing maintenance, repair and replacement.…

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. The book is split into tw…

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and com…

Features the classical themes of geometry with plentiful applications in mathematics, education, engineering, and science Accessible and reader-friend…

A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance o…

A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear …

Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statis…

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addres…

Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical a…

A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal …

A mathematical introduction to the theory and applications of logic and set theory with an emphasis on writing proofs Highlighting the applications an…

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data…

Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways…

Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Pr…

Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book c…

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate N…

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numer…

This book introduces ALM in the context of banks and insurance companies. Although this strategy has a core of fundamental frameworks, models may vary…

Introduces both the fundamentals of time dependent differential equations and their numerical solutions Introduction to Numerical Methods for Time Dep…

Presents a comprehensive treatment of issues related to the inception, design, implementation and reporting of large-scale education assessments. In r…

A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications…

A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile reg…

Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reins…

Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies that lead t…

A comprehensive guide to ranks and group theory Ranks of Groups features a logical, straightforward presentation, beginning with a succinct discussion…

This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying proce…

A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines …

Explores computer-intensive probability and statistics for ecosystem management decision making Simulation is an accessible way to explain probability…

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engi…

Presents a clear bridge between mathematics and the liberal arts Mathematics for the Liberal Arts provides a comprehensible and precise introduction t…