математика

Hadi Ali S.. Regression Analysis by Example

Regression Analysis by Example

Hadi Ali S.

Praise for the Fourth Edition: «This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable.» —Journal of the American Statistical Association Regression analysis is a...
Molina Isabel. Small Area Estimation

Small Area Estimation

Molina Isabel

Praise for the First Edition «This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic…I believe that it has the potential to turn small area estimation…into a larger...
Florescu Ionut. Handbook of Probability

Handbook of Probability

Florescu Ionut

THE COMPLETE COLLECTION NECESSARY FOR A CONCRETE UNDERSTANDING OF PROBABILITY Written in a clear, accessible, and comprehensive manner, the Handbook of Probability presents the fundamentals of probability with an emphasis on the balance of...
Troffaes Matthias C.M.. Lower Previsions

Lower Previsions

Troffaes Matthias C.M.

This book has two main purposes. On the one hand, it provides a concise and systematic development of the theory of lower previsions, based on the concept of acceptability, in spirit of the work of Williams and Walley. On the other hand, it also...
Hahn Gerald J.. A Career in Statistics. Beyond the Numbers

A Career in Statistics. Beyond the Numbers

Hahn Gerald J.

A valuable guide to a successful career as a statistician A Career in Statistics: Beyond the Numbers prepares readers for careers in statistics by emphasizing essential concepts and practices beyond the technical tools provided in standard...
Banks Catherine M.. Modeling and Simulation Fundamentals. Theoretical Underpinnings and Practical Domains

Modeling and Simulation Fundamentals. Theoretical Underpinnings and Practical Domains

Banks Catherine M.

An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a...
Stakgold Ivar. Green's Functions and Boundary Value Problems

Green's Functions and Boundary Value Problems

Stakgold Ivar

Praise for the Second Edition «This book is an excellent introduction to the wide field of boundary value problems.»—Journal of Engineering Mathematics «No doubt this textbook will be useful for both students and research workers.»—Mathematical...
Guttman Irwin. Statistics and Probability with Applications for Engineers and Scientists

Statistics and Probability with Applications for Engineers and Scientists

Guttman Irwin

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and...
Hesterberg Tim C.. Mathematical Statistics with Resampling and R

Mathematical Statistics with Resampling and R

Hesterberg Tim C.

This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence...
Hardin James W.. Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)

Hardin James W.

Praise for the Second Edition «All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice.» —Journal of Applied Statistics «. . . a very engaging and valuable book for all...
Hardin James W.. Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)

Hardin James W.

Praise for Common Errors in Statistics (and How to Avoid Them) «A very engaging and valuable book for all who use statistics in any setting.» —CHOICE «Addresses popular mistakes often made in data collection and provides an indispensable guide...
Kerr Kathleen F.. Design and Analysis of Experiments in the Health Sciences

Design and Analysis of Experiments in the Health Sciences

Kerr Kathleen F.

An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in...
Wu Shen R.. Introduction to the Explicit Finite Element Method for Nonlinear Transient Dynamics

Introduction to the Explicit Finite Element Method for Nonlinear Transient Dynamics

Wu Shen R.

A systematic introduction to the theories and formulations of the explicit finite element method As numerical technology continues to grow and evolve with industrial applications, understanding the explicit finite element method has become...
Ramm Alexander G.. Dynamical Systems Method and Applications. Theoretical Developments and Numerical Examples

Dynamical Systems Method and Applications. Theoretical Developments and Numerical Examples

Ramm Alexander G.

Demonstrates the application of DSM to solve a broad range of operator equations The dynamical systems method (DSM) is a powerful computational method for solving operator equations. With this book as their guide, readers will master the...
Collins Linda M.. Latent Class and Latent Transition Analysis. With Applications in the Social, Behavioral, and Health Sciences

Latent Class and Latent Transition Analysis. With Applications in the Social, Behavioral, and Health Sciences

Collins Linda M.

A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered...
Dehmer Matthias. Statistical and Machine Learning Approaches for Network Analysis

Statistical and Machine Learning Approaches for Network Analysis

Dehmer Matthias

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together...
Webb Andrew R.. Statistical Pattern Recognition

Statistical Pattern Recognition

Webb Andrew R.

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many...
Ryzhov Ilya O.. Optimal Learning

Optimal Learning

Ryzhov Ilya O.

Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions,...
Raynaud Harv?. Managerial Logic

Managerial Logic

Raynaud Harv?

The publication of the first book by Kenneth Arrow and Herv? Raynaud, in 1986, led to an important wave of research in the field of axiomatic approach applied to managerial logic. Managerial Logic summarizes the prospective results of this...
Clark Virginia A.. Basic Statistics. A Primer for the Biomedical Sciences

Basic Statistics. A Primer for the Biomedical Sciences

Clark Virginia A.

New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research....
Pawlowsky-Glahn Vera. Compositional Data Analysis. Theory and Applications

Compositional Data Analysis. Theory and Applications

Pawlowsky-Glahn Vera

It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the...
Levin Bruce. The Biostatistics of Aging. From Gompertzian Mortality to an Index of Aging-Relatedness

The Biostatistics of Aging. From Gompertzian Mortality to an Index of Aging-Relatedness

Levin Bruce

A practical and clarifying approach to aging and aging-related diseases Providing a thorough and extensive theoretical framework, The Biostatistics of Aging: From Gompertzian Mortality to an Index of Aging-Relatedness addresses the surprisingly...
Kopylova Elena. Dispersion Decay and Scattering Theory

Dispersion Decay and Scattering Theory

Kopylova Elena

A simplified, yet rigorous treatment of scattering theory methods and their applications Dispersion Decay and Scattering Theory provides thorough, easy-to-understand guidance on the application of scattering theory methods to modern problems in...
Kagan Eugene. Probabilistic Search for Tracking Targets. Theory and Modern Applications

Probabilistic Search for Tracking Targets. Theory and Modern Applications

Kagan Eugene

Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach for...
Barone Stefano. Statistical and Managerial Techniques for Six Sigma Methodology. Theory and Application

Statistical and Managerial Techniques for Six Sigma Methodology. Theory and Application

Barone Stefano

Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of errors and minimizing variability in manufacturing and business processes. This book examines...
Kulkarni Sanjeev. An Elementary Introduction to Statistical Learning Theory

An Elementary Introduction to Statistical Learning Theory

Kulkarni Sanjeev

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary...
Christensen William F.. Methods of Multivariate Analysis

Methods of Multivariate Analysis

Christensen William F.

Praise for the Second Edition «This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere.» —IIE...
Shmueli Galit. Modeling Online Auctions

Modeling Online Auctions

Shmueli Galit

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the...
Xu Rui. Clustering

Clustering

Xu Rui

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based...
Mateu Jorge. Spatio-temporal Design. Advances in Efficient Data Acquisition

Spatio-temporal Design. Advances in Efficient Data Acquisition

Mateu Jorge

A state-of-the-art presentation of optimum spatio-temporal sampling design – bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art...
Mun Eun-Young. Log-Linear Modeling. Concepts, Interpretation, and Application

Log-Linear Modeling. Concepts, Interpretation, and Application

Mun Eun-Young

An easily accessible introduction to log-linear modeling for non-statisticians Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts, Interpretation, and...
Boddy Richard. Effective Experimentation. For Scientists and Technologists

Effective Experimentation. For Scientists and Technologists

Boddy Richard

Effective Experimentation is a practical book on how to design and analyse experiments. Each of the methods are introduced and illustrated through real world scenario drawn from industry or research. Formulae are kept to a minimum to enable the...
Balan Vladimir. Jet Single-Time Lagrange Geometry and Its Applications

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...
Giudici Paolo. Applied Data Mining for Business and Industry

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...
Poggiolini Laura. A First Course in Probability and Markov Chains

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...
Song Xin-Yuan. Basic and Advanced Bayesian Structural Equation Modeling. With Applications in the Medical and Behavioral Sciences

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...
McKinney Jennifer. Understanding and Applying Research Design

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...
Chow Shein-Chung. Design and Analysis of Clinical Trials. Concepts and Methodologies

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...
Okabe Atsuyuki. Spatial Analysis Along Networks. Statistical and Computational Methods

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...
Schuenemeyer John. Statistics for Earth and Environmental Scientists

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,...
Xie Lei. Advances in Statistical Monitoring of Complex Multivariate Processes. With Applications in Industrial Process Control

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...
Gilmore Robert. The Topology of Chaos. Alice in Stretch and Squeezeland

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...
Cirrincione Giansalvo. Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks

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,...
Marta Blangiardo. Spatial and Spatio-temporal Bayesian Models with R - INLA

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...
Ishizaka Alessio. Multi-criteria Decision Analysis. Methods and Software

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...
Eubank Randall. Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

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...
Ahlemeyer-Stubbe Andrea. A Practical Guide to Data Mining for Business and Industry

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...
Kuhnt Sonja. Statistical Hypothesis Testing with SAS and R

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?...
Xekalaki Evdokia. ARCH Models for Financial Applications

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...
DeTemple Duane. Combinatorial Reasoning. An Introduction to the Art of Counting

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...

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