математика
Survey Methods in Multinational, Multiregional, and Multicultural Contexts
Группа авторов
A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance of cross-national and cross-cultural methodologies has heightened across various fields of...
Applied Integer Programming
Der-San Chen
An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer programming, it is important to understand not...
Mixtures
Christian Riedl Robert
This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may...
Differential Equation Analysis in Biomedical Science and Engineering. Ordinary Differential Equation Applications with R
William Schiesser E.
Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation...
Causality in a Social World. Moderation, Mediation and Spill-over
Guanglei Hong
Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The...
Survival Analysis. Models and Applications
Xian Liu
Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and...
Introduction to Digital Systems. Modeling, Synthesis, and Simulation Using VHDL
Mohammed Ferdjallah
A unique guide to using both modeling and simulation in digital systems design Digital systems design requires rigorous modeling and simulation analysis that eliminates design risks and potential harm to users. Introduction to Digital Systems:...
Solutions Manual to Accompany Classical Geometry
J. E. Lewis
Solutions Manual to accompany Classical Geometry: Euclidean, Transformational, Inversive, and Projective Written by well-known mathematical problem solvers, Classical Geometry: Euclidean, Transformational, Inversive, and Projective features...
Developing, Validating and Using Internal Ratings
Giacomo De Laurentis
This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models for borrowers’ ratings, using SPSS-PASW and SAS statistical packages. Mainstream approaches to...
Advanced Markov Chain Monte Carlo Methods
Faming Liang
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The...
Understanding Large Temporal Networks and Spatial Networks
Patrick Doreian
This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have...
Statistical Analysis in Forensic Science
Colin Aitken
A practical guide for determining the evidential value of physicochemical data Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose...
Multivariate Statistics
Yasunori Fujikoshi
A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical...
Statistics in the Social Sciences
Stanislav Kolenikov
A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical...
Question Evaluation Methods
Gordon B. Willis
Insightful observations on common question evaluation methods and best practices for data collection in survey research Featuring contributions from leading researchers and academicians in the field of survey research, Question Evaluation...
Introduction to Mixed Modelling. Beyond Regression and Analysis of Variance
N. Galwey W.
Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to...
Assessment Methods in Statistical Education
Группа авторов
Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education. It is a collection of contributions written by some of the leading...
Algebra and Number Theory
Martyn R. Dixon
Explore the main algebraic structures and number systems that play a central role across the field of mathematics Algebra and number theory are two powerful branches of modern mathematics at the forefront of current mathematical research, and...
Latent Variable Models and Factor Analysis
David J. Bartholomew
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the...
Structured Decision Making
Robin Gregory
This book outlines the creative process of making environmental management decisions using the approach called Structured Decision Making. It is a short introductory guide to this popular form of decision making and is aimed at environmental...
The Mathematics of Infinity. A Guide to Great Ideas
Theodore Faticoni G.
Praise for the First Edition «. . . an enchanting book for those people in computer science or mathematics who are fascinated by the concept of infinity.»—Computing Reviews «. . . a very well written introduction to set theory . . . easy to read...
Multivariate Analysis for the Biobehavioral and Social Sciences
Timothy B. Smith
An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for...
Logic and Discrete Mathematics
Willem Conradie
Solutions manual to accompany Logic and Discrete Mathematics: A Concise Introduction This book features a unique combination of comprehensive coverage of logic with a solid exposition of the most important fields of discrete mathematics,...
Data Analysis in Forensic Science
Franco Taroni
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 two parts: Part One concentrates on the philosophies of statistical inference. Chapter One...
Математика: основные математические структуры 2-е изд. Учебное пособие для СПО
Е. М. Вечтомов
Учебное пособие посвящено основным типам математических структур. В первых трех главах рассматриваются такие фундаментальные типы структур, как алгебраические, порядковые и топологические. Авторы дополняют их еще двумя типами – пространства с...
Berechnungen in der Chemie und Verfahrenstechnik mit Excel und VBA
Wolfgang Schmidt
Mit diesem Arbeitsbuch lernt der Anwender numerische Methoden in Excel-VBA kennen und zur Losung von Problemen und Aufgabenstellungen aus Chemie und Verfahrenstechnik einzusetzen. Dabei steht die Anwendung auf einfache, grundlegende...
Geostatistics. Modeling Spatial Uncertainty
Chil?s Jean-Paul
Praise for the First Edition «. . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner.» —Mathematical Geosciences The state of the art in geostatistics Geostatistical models...
Decision Theory. Principles and Approaches
Inoue Lurdes
Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures...
Bayesian Networks. An Introduction
Noble Wilford John
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data...
GARCH Models. Structure, Statistical Inference and Financial Applications
Francq Christian
This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability...
Handbook of Web Surveys
Bethlehem Jelke
BEST PRACTICES TO CREATE AND IMPLEMENTHIGHLY EFFECTIVE WEB SURVEYS Exclusively combining design and sampling issues, Handbook of Web Surveys presents a theoretical yet practical approach to creating and conducting web surveys. From the history...
Theory of Computational Complexity
Ko Ker-I
Praise for the First Edition «…complete, up-to-date coverage of computational complexity theory…the book promises to become the standard reference on computational complexity.» -Zentralblatt MATH A thorough revision based on advances in the...
Combinatorial Reasoning. An Introduction to the Art of Counting
DeTemple Duane
Written by two well-known scholars in the field, Combinatorial Reasoning: An Introduction to the Art of Counting presents a clear and comprehensive introduction to the concepts and methodology of beginning combinatorics. Focusing on modern...
ARCH Models for Financial Applications
Xekalaki Evdokia
Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications of ARCH models and provides the basic theoretical and empirical...
Statistical Hypothesis Testing with SAS and R
Kuhnt Sonja
A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it?...
A Practical Guide to Data Mining for Business and Industry
Ahlemeyer-Stubbe Andrea
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the...
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
Eubank Randall
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data...
Multi-criteria Decision Analysis. Methods and Software
Ishizaka Alessio
This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method...
Spatial and Spatio-temporal Bayesian Models with R - INLA
Marta Blangiardo
Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian...
Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks
Cirrincione Giansalvo
The presentation of a novel theory in orthogonal regression The literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold,...
The Topology of Chaos. Alice in Stretch and Squeezeland
Gilmore Robert
A highly valued resource for those who wish to move from the introductory and preliminary understandings and the measurement of chaotic behavior to a more sophisticated and precise understanding of chaotic systems. The authors provide a deep...
Advances in Statistical Monitoring of Complex Multivariate Processes. With Applications in Industrial Process Control
Xie Lei
The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in...
Statistics for Earth and Environmental Scientists
Schuenemeyer John
A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources,...
Spatial Analysis Along Networks. Statistical and Computational Methods
Okabe Atsuyuki
In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the...
Design and Analysis of Clinical Trials. Concepts and Methodologies
Chow Shein-Chung
Praise for the Second Edition: “…a grand feast for biostatisticians. It stands ready to satisfy the appetite of any pharmaceutical scientist with a respectable statistical appetite.” —Journal of Clinical Research Best Practices The Third Edition...
Understanding and Applying Research Design
McKinney Jennifer
A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design...
Basic and Advanced Bayesian Structural Equation Modeling. With Applications in the Medical and Behavioral Sciences
Song Xin-Yuan
This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling...
A First Course in Probability and Markov Chains
Poggiolini Laura
Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on...
Applied Data Mining for Business and Industry
Giudici Paolo
The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge...
Jet Single-Time Lagrange Geometry and Its Applications
Balan Vladimir
Develops the theory of jet single-time Lagrange geometry and presents modern-day applications Jet Single-Time Lagrange Geometry and Its Applications guides readers through the advantages of jet single-time Lagrange geometry for geometrical...
