Bogoliubov-de Gennes Method and Its Applications

The purpose of this book is to provide an elementary yet systematic description of the Bogoliubov-de Gennes (BdG) equations, their unique symmetry properties and their relation to Green's function theory. Specifically, it...

Topology Optimization Theory for Laminar Flow : Applications in Inverse Design of Microfluidics

This book presents the topology optimization theory for laminar flows with low and moderate Reynolds numbers, based on the density method and level-set method, respectively. The density-method-based theory offers efficient...

Limit Theorems For Associated Random Fields And Related Systems

This volume is devoted to the study of asymptotic properties of wide classes of stochastic systems arising in mathematical statistics, percolation theory, statistical physics and reliability theory. Attention is paid not only to...

Computational Genomics

Now available as a three-volume set, the second edition of this popular handbook provides expanded coverage of many important topics and recent developments in computational biology. With updates in each chapter, the book...

PROC DOCUMENT by Example Using SAS

PROC DOCUMENT by Example Using SAS demonstrates the practical uses of the DOCUMENT procedure, a part of the Output Delivery System, in SAS 9.3. Michael Tuchman explains how to work with PROC DOCUMENT, which is designed to store...

Discovering Jmp 12

Discovering JMP 12 provides a basic introduction to using JMP. For new users of JMP, this is a great place to start. The book also includes details about importing your data into JMP, analyzing the data, and sharing the...

Empirical Processes with Applications to Statistics

Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to...

Stochastic Processes : An Introduction

Based on a well-established and popular course taught by the authors over many years, Stochastic Processes: An Introduction, Third Edition, discusses the modelling and analysis of random experiments, where processes evolve over...

Probability and Statistics for Particle Physics

This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the...

The Theory That Would Not Die : How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning...

Modeling Random Processes for Engineers and Managers

By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. An entire chapter is included on how to set up the problem, and...

Optimal State Estimation : Kalman, H Infinity, and Nonlinear Approaches

A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state...

Geostatistics Explained : An Introductory Guide for Earth Scientists

A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas...

Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them

Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them presents often-used programming tasks that readers can either use as presented or modify to fit their own programs, all in one handy volume. Esteemed...

Building Better Models with Jmp Pro

Explore the black box of business analytics and learn the methodology for managing and executing analytics projects.

Excel 2007 Data Analysis for Dummies

* Shows ordinary users how to tap the rich data analysis functionality of Excel, make sense of their organization's critical financial and statistical information, and put together compelling data presentations* Now revised...

Of Poles and Zeros : Fundamentals of Digital Seismology

Digital signal processing has become an integral part of observational seismology. Seismic waveforms and the parameters commonly extracted from them are strongly influenced by the effects of numerous filters, both within the...

Applications of Affine and Weyl Geometry

Pseudo-Riemannian geometry is, to a large extent, the study of the Levi-Civita connection, which is the unique torsion-free connection compatible with the metric structure. There are, however, other affine connections which...

Nonlinear Fokker-Planck Equations : Fundamentals and Applications

Centered around the natural phenomena of relaxations and fluctuations, this monograph provides readers with a solid foundation in the linear and nonlinear Fokker-Planck equations that describe the evolution of distribution...

Modeling the Internet and the Web : Probabilistic Methods and Algorithms

This book covers the most important aspects of the web using modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet and...

Statistics for Biology Students : A Handbook

This handbook is selective in its coverage in order to emphasize hands-on, practical skills and knowledge. The author provides theoretical background only when needed to encourage an intelligent use of statistics and...

The Improbability Principle : Why coincidences, miracles and rare events happen all the time

Why is it that incredibly unlikely phenomena actually happen quite regularly and why should we, in fact, expect such things to happen? Here, in this highly original book - aimed squarely at anyone with an interest in...

Handbook of Parallel Computing and Statistics

Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster. Parallel computing has...

Chances Are : Adventures in Probability

A compelling journey through history, mathematics, and philosophy, charting humanity's struggle against randomness Our lives are played out in the arena of chance. However little we recognize it in our day-to-day...

Cambridge International AS and A Level Mathematics: Statistics 2 Coursebook

Cambridge AS and A Level Mathematics is a revised series to ensure full syllabus coverage. This coursebook has been revised and updated to ensure that it meets the requirements for the Statistics 2 (S2) unit of Cambridge AS and...

SAS Programming for Enterprise Guide Users, Second Edition

New and updated for SAS Enterprise Guide 4.2! In this pragmatic, example-driven book, author Neil Constable demonstrates how you can use SAS code to enhance the capabilities of SAS Enterprise Guide. Designed to help you gain...

Cyclostationarity: Theory and Methods - II : Contributions to the 7th Workshop on Cyclostationary Systems And Their Applications, Grodek, Poland, 2014

This book reports on the latest advances in the analysis of non-stationary signals, with special emphasis on cyclostationary systems. It includes cutting-edge contributions presented at the 7th Workshop on "Cyclostationary...

Mathematical Strategies for Climate and Long Range Weather Forecasting in Hierarchy of Models 2018

This book gives a research exposition of interdisciplinary topics at the cutting edge of the applied mathematics of climate change and long range weather forecasting through a hierarchy of models with contemporary applications...

Basics Of Reliability And Risk Analysis: Worked Out Problems And Solutions

Reliability and safety are fundamental attributes of any modern technological system. To achieve this, diverse types of protection barriers are placed as safeguards from the hazard posed by the operation of the system, within a...

Logistic Regression Models

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed...

The Art Of R Programming

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and...

Data Preparation for Analytics Using SAS

Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader...

Bayesian Reasoning and Machine Learning

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market...

Geostatistics for Engineers and Earth Scientists

Geostatistics for Engineers and Earth Scientists

Geostatistical Methods for Reservoir Geophysics

This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical background information, including detailed descriptions of the main geostatistical tools...

Statistical Analysis of Circular Data

Data measured as angles or two-dimensional orientations are found almost everywhere in science. They commonly arise in biology, geography, geophysics, medicine, meteorology and oceanography, and many other areas. Examples of...

Understanding Sabermetrics : An Introduction to the Science of Baseball Statistics

Born in the 1970s as a radical challenge to traditional baseball statistics, sabermetrics has developed into a new way of understanding many aspects of the game. Its practitioners have created new statistical tools and revised...

Advances in Independent Component Analysis

Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the...

Space, Structure and Randomness : Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology

Space, structure, and randomness: these are the three key concepts underlying Georges Matheron's scientific work. He first encountered them at the beginning of his career when working as a mining engineer, and then they...

Wavelet Methods for Time Series Analysis

This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and...

Applied Statistics and Probability for Engineers, 6E

Applied Statistics and Probability for Engineers, 6th Edition provides a practical approach oriented to engineering as well as chemical and physical sciences. Students learn how the material will be relevant in their careers...

Theory and Modeling of Stochastic Objects : Point Processes to Random Sets

This book introduces the theory of point processes and random objects. It begins by providing necessary background on inference, probability, measure theory, and stochastic processes. It then covers point process theory,...

Online Damage Detection in Structural Systems : Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their...

The Great Unknown : Seven Journeys to the Frontiers of Science

“Brilliant and fascinating. No one is better at making the recondite accessible and exciting.” —Bill Bryson A captivating journey to the outer reaches of human knowledgeEver since the dawn of civilization we have been driven...

Handbook of Spatial Statistics

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified,...

Functional and Phylogenetic Ecology in R

Functional and Phylogenetic Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate...

Astrostatistical Challenges for the New Astronomy

Astrostatistical Challenges for the New Astronomy presents a collection of monographs authored by several of the disciplines leading astrostatisticians, i.e. by researchers from the fields of statistics and...

Modern Directional Statistics

Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both...

Excel 2016 for Physical Sciences Statistics : A Guide to Solving Practical Problems

This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2013 for Physical Sciences Statistics, this book is a step-by-step...

Modern Methodology and Applications in Spatial-Temporal Modeling

â This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of...

Categorical Data Analysis

Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." Statistics in Medicine "It is a total delight reading this book."...

Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers...

Statistics for Biological Networks : How to Infer Networks from Data

An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of statistical methods for describing, modeling, and inferring biological networks using genomic and other...

Practical Statistics for Data Scientists : 50 Essential Concepts

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This...

Introduction To Stein's Method, An

A common theme in probability theory is the approximation of complicated probability distributions by simpler ones, the central limit theorem being a classical example. Stein's method is a tool which makes this possible in...

Practical Statistics and Experimental Design for Plant and Crop Science

Presents readers with a user-friendly, non-technical introduction to statistics and the principles of plant and crop experimentation. Avoiding mathematical jargon, it explains how to plan and design an experiment, analyse...

Advances in Combinatorial Methods and Applications to Probability and Statistics

Sri Gopal Mohanty has made pioneering contributions to lattice path counting and its applications to probability and statistics. This is clearly evident from his lifetime publications list and the numerous citations his...

Applied Mathematics

Praise for the Third Edition Future mathematicians, scientists, and engineers should find the book to be an excellent introductory text for coursework or self-study as well as worth its shelf space for reference. MAA Reviews...

Engineering Biostatistics : An Introduction using MATLAB and WinBUGS

Provides a one-stop resource for engineers learning VIDAKOVIC biostatistics using MATLAB (R) and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented...

Classic Problems of Probability

Winner of the 2012 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence. "A great book, one that I will certainly add to my personal library." Paul J. Nahin,...

Sharpening Your Advanced SAS Skills

Sharpening Your Advanced SAS(R) Skills presents sophisticated SAS programming techniques, procedures, and tools, such as Proc SQL, hash tables, and SAS Macro programming, for any industry. Drawing on his more than 20 years'...

Statistical Relational Artificial Intelligence : Logic, Probability, and Computation

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations...

Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes

The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Levy processes or fractional Brownian...

Analytic Methods in Sports : Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports

The Most Useful Techniques for Analyzing Sports Data One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and...

Stochastic Processes

This comprehensive guide to stochastic processes gives a complete overview of the theory and addresses the most important applications. Pitched at a level accessible to beginning graduate students and researchers from applied...

Student Solutions Manual for Ramsey/Schafer's the Statistical Sleuth: A Course in Methods of Data Analysis, 3rd

This manual contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer

Foundations of Statistical Algorithms : With References to R Packages

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to...

Maximum Likelihood Estimation with Stata

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be...

GENE EXPRESSION STUDIES USING AFFYM

The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and...

Multi-Digital Terrain Modeling and Fusion for Environmental Analysis

Written to address the need for updated, precise, and continuous representation of our topography, this book discusses a new approach for georelated environmental analyses processes, mainly fusion, that simultaneously handles...

Statistical Mechanics of Lattice Systems : Volume 1: Closed-Form and Exact Solutions

This two-volume work provides a comprehensive study of the statistical mechanics of lattice models. It introduces readers to the main topics and the theory of phase transitions, building on a firm mathematical and physical...

Statistics with Stata

For students and practicing researchers alike, STATISTICS WITH STATA Version 12 opens the door to the full use of the popular Stata program--a fast, flexible, and easy-to-use environment for data management and statistics...

Statistical Analysis with R For Dummies

Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have...

How Luck Happens : Using the Science of Luck to Transform Work, Love, and Life

New York Times bestselling author Janice Kaplan examines the phenomenon of luck--and discovers the exciting ways you can boost your chances and set yourself up to get lucky in everyday life.After spending a year researching...

Statistical Optics

This book discusses statistical methods that are useful for treating problems in modern optics, and the application of these methods to solving a variety of such problems This book covers a variety of statistical problems in...

A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem : with Simulations and Examples in SAS (R)

â â âIn statistics, the Behrens-Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the...

Laplace-, Fourier- Und Z-Transformation : Grundlagen Und Anwendungen

Dieses Buch ist eine leicht verstandliche Einfuhrung in die Theorie und die praktische Handhabung der Fourier-, Laplace- und z-Transformation mit zahlreichen Beispielen und Aufgaben. Der Umgang mit den Transformationen wird...

Bayesian Modeling Using Winbugs

A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian...

Analyzing Baseball Data with R

With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball...

SAS Macro Programming Made Easy, Third Edition

This book provides beginners with a thorough foundation in SAS macro programming. Updated for SAS 9.4, this book teaches you the elements of the macro facility, how to write a macro program, techniques for macro programming,...

Fundamentals for the Anthropocene

This book seeks to bridge the gap between leading edge scholarship about the nature of the physical, tangible Universe and the nature of the life process on Earth on the one hand, and on the other hand challenges facing human...

Maximum Entropy and Bayesian Methods : Laramie, Wyoming, 1990

The 10th International Workshop on Maximum Entropy and Bayesian Methods, MaxEnt 90, was held in Laramie, Wyoming from 30 July to 3 August 1990. This volume contains the scientific presentations given at that meeting. This series...

Of Poles and Zeros : Fundamentals of Digital Seismology

Digital signal processing has become an integral part of observational seismology. Seismic waveforms and the parameters commonly extracted from them are strongly influenced by the effects of numerous filters, both within the...

Inferential Models : Reasoning with Uncertainty

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to inference: the inferential model (IM) framework. This logical framework for...

Extreme Value Distributions

This important book provides an up-to-date comprehensive and down-to-earth survey of the theory and practice of extreme value distributions - one of the most prominent success stories of modern applied probability and...

Mathematical Physics : A Modern Introduction to Its Foundations

The goal of this book is to expose the reader to the indispensable role that mathematics plays in modern physics. Starting with the notion of vector spaces, the first half of the book develops topics as diverse as algebras,...

Stochastic Finite Element Methods : An Introduction

The book provides a self-contained treatment of stochastic finite element methods. It helps the reader to establish a solid background on stochastic and reliability analysis of structural systems and enables practicing engineers...

Self-Organized Criticality in Astrophysics : The Statistics of Nonlinear Processes in the Universe

Markus Aschwanden introduces the concept of self-organized criticality (SOC) and shows that due to its universality and ubiquity it is a law of nature for which he derives the theoretical framework and specific physical models...

Handbook of Data Visualization

This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools, graphical methodology for particular areas of statistics, as well software for graphics. ...

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