математика
Nonparametric Statistics. A Step-by-Step Approach
Foreman Dale I.
“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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,...
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...
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....
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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,...
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...
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...
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,...
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...
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...
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...
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...
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?...
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...
