Statistical Inference

The process of determining the best approach towards any goal, with proper logic, decision and rationale falls under the umbrella of operations research. It is the subject, which applies statistical a

It is little secret that most archaeologists are uneasy with statistics. Thankfully, in the modern world, quantitative analysis has been made immensely easier through the use of statistical software p

It is little secret that most archaeologists are uneasy with statistics. Thankfully, in the modern world, quantitative analysis has been made immensely easier by statistical software packages. Softwar

This book celebrates Professor Mathukumalli Vidyasagar’s outstanding achievements in systems, control, robotics, statistical learning, computational biology, and allied areas. The contributions in the

This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs. The book off

Mathematical modeling is the method of developing mathematical models. This model is mainly based on mathematical language and theories and includes forms such as dynamical systems, statistical models

Chemometrics uses advanced mathematical and statistical algorithms to provide maximum chemical information by analyzing chemical data, and obtain knowledge of chemical systems. Chemometrics significan

The branch of physics which uses three basic laws namely electromagnetism, statistical mechanics and quantum mechanics, to understand the physical and behavioral properties of condensed matter is know

In Statistics in Music Education Research, author Joshua Russell explains the process of using a range of statistical analyses from inception to research design to data entry to final analysis using u

In Statistics in Music Education Research, author Joshua Russell explains the process of using a range of statistical analyses from inception to research design to data entry to final analysis using u

This book provides an overview of a recent and flexible approach to speech synthesis design to develop the first statistical parametric speech synthesizer for Ibibio, a West African tonal language. Th

This is a statistical study designed to analyze the trend of illiteracy in the United States and its present relation to sex, age, urban and rural environment, race and nationality, and school systems

Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on t

A comprehensive account of both basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, meaning that students from many disciplines, including biology, computer science, statistics, and applied mathematics, will find the text accessible. The mathematical and statistical foundations of phylogeny estimation are presented rigorously, following which more advanced material is covered. This includes substantial chapters on multi-locus phylogeny estimation, supertree methods, multiple sequence alignment techniques, and designing methods for large-scale phylogeny estimation. The author provides key analytical techniques to prove theoretical properties about methods, as well as addressing performance in practice for methods for estimating trees. Research problems requiring novel computational methods are also presented, so that graduate stud

This book presents statistical processes for health care delivery and covers new ideas, methods and technologies used to improve health care organizations. It gathers the proceedings of the Third Inte

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric proced

The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for readers hoping to: Complete an introd

For one- or-two-semester courses in business statistics. Give students the statistical foundation to hone their analysis skills for real-world decisions Basic Business Statistics, 14th Edition,

The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for readers hoping to:Complete an introducto

Statistical mechanics has been proven to be successful at describing physical systems at thermodynamic equilibrium. Since most natural phenomena occur in nonequilibrium conditions, the present challenge is to find suitable physical approaches for such conditions: this book provides a pedagogical pathway that explores various perspectives. The use of clear language, and explanatory figures and diagrams to describe models, simulations and experimental findings makes the book a valuable resource for undergraduate and graduate students, and also for lecturers organizing teaching at varying levels of experience in the field. Written in three parts, it covers basic and traditional concepts of nonequilibrium physics, modern aspects concerning nonequilibrium phase transitions, and application-orientated topics from a modern perspective. A broad range of topics is covered, including Langevin equations, Levy processes, directed percolation, kinetic roughening and pattern formation.

This edited reader showcases classic studies on the Black Church and religion by a pioneer of American sociology. Utilizing statistical, ethnographic, literary, and historical data, W. E. B. Du Bois c

A Crash Course in Statistics provides a short introduction to key statistical methods including descriptive statistics, ANOVA, the t-test, and Chi Square. Author Ryan J. Winter begins each of the five

Digital Signal Processing with Kernel Methods will review the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. In additio

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics

This motivating textbook gives a friendly, rigorous introduction to fundamental concepts in equilibrium statistical mechanics, covering a selection of specific models, including the Curie–Weiss and Ising models, the Gaussian free field, O(n) models, and models with Kać interactions. Using classical concepts such as Gibbs measures, pressure, free energy, and entropy, the book exposes the main features of the classical description of large systems in equilibrium, in particular the central problem of phase transitions. It treats such important topics as the Peierls argument, the Dobrushin uniqueness, Mermin–Wagner and Lee–Yang theorems, and develops from scratch such workhorses as correlation inequalities, the cluster expansion, Pirogov–Sinai Theory, and reflection positivity. Written as a self-contained course for advanced undergraduate or beginning graduate students, the detailed explanations, large collection of exercises (with solutions), and appendix of mathematical results and conce

This handbook synthesizes and integrates the science of internalizing and externalizing childhood disorders with the diagnostic structure of the Diagnostic and Statistical Manual – 5th Edition (DSM-5)

The Spectrum of Addiction discusses the full range of addictive behaviors and habits and focuses on clinical application in a variety of settings. Following the Diagnostic and Statistical Manual&rsquo

This book focuses on extending the models and theories (from a mathematical/statistical point of view) which were introduced in the first volume to a more technical level. Where volume I provided an i

How this book is different from other Marketing Modeling books and what you can get from it This book integrates Marketing and Statistical concepts and is written for Marketing Modelers, Model Users,

This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage o

This book will firstly help readers establish the research parameters of land use change and then provide a set of statistical models to effectively process land use change data. Analysis of the resul

Measuring Agreement Methodology and Applications successfully blends the currently available statistical methodologies for agreement evaluation in a unified, coherent, and lucid manner. This up-to-dat

Writing at the State U presents a comprehensive, empirical examination of writing programs at 106 universities. Rather than using open survey calls and self-reporting, Emily Isaacs uses statistical an

Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right. This engaging textbook with its easy-to-follow writing style provides a comprehensive yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard texts, such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for a

Under attack by bugs, bots and viruses, your computer needs your help. Sucked into the data system you must use your statistical knowledge to thwart the Attack on Circuit City. Finding the answers ena

This book explains why reactive conflict spillovers (political violence in response to conflicts abroad) occur in some migrant-background communities in the West. Based on survey data, statistical dat

With a clear and humorous writing style and strong examples from the real world, this text covers current statistical techniques at an introductory level and emphasizes the clear presentation of resul

Herschel Knapp's applied intermediate statistics text for graduate-level classes offers explanations in plain English, without focusing on the derivation or memorization of statistical formulas. Inter

Companion Materials Arriving Soon!With a clear and engaging writing style and strong examples from the real world, this text covers current statistical techniques at an introductory level and emphasiz