Python Data Science Handbook

This textbook examines a broad range of problems in science and engineering, describing key numerical methods applied to real life. The case studies presented are in such areas as data fitting, vehicl

This reference handbook by Smith (political science, Northern Arizona U.) and Taylor (a graduate student in the public policy doctoral program at Northern Arizona U.) is intended to provide foundation

Evaluating a wealth of quantitative data, Biofuels: Biotechnology, Chemistry, and Sustainable Development discusses different types of biofuels, the science behind their production, the economics of t

Handbook of Obesity: Clinical Applications, Third Edition is the premier reference for physicians and researchers in the field of obesity. Written by leading scientists and clinicians, this handbook o

The Handbook of Relationship Initiation is the first volume to focus specifically on the very beginning stage of relationships – their origin. In this Handbook, leading scholars on relationships revie

Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based o

The Handbook of Critical and Indigenous Methodologies is the only handbook to make connectionsAyregarding many of the perspectives of the "new" critical theorists and emerging indigenous methodologie

Give every student a deeper understanding of physical science!Glencoe Physical Science with Earth Science provides students with accurate and comprehensive content coverage of physical science integra

This handbook supplies a wealth of practical, on-the-job tips for secretaries and administrative assistants. Written in a down-to-earth style and organized for easy reference, the handbook covers gene

This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are pro

From a preeminent authority—a modern and applied treatment of multiway data analysis This groundbreaking book is the first of its kind to present methods for analyzing multiway data by applying multi

In the last ten years neural ensemble recording grew into a well-respected and highly data-lucrative science. New experimental paradigms, including the fabrication of high-density microelectrodes, new

A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic

Plant Science, like the biological sciences in general, has undergone seismic shifts in the last thirty or so years. Of course science is always changing and metamorphosing, but these shifts have mea

Integrating significant advances in motivation science that have occurred over the last two decades, this volume thoroughly examines the ways in which motivation interacts with social, developmental,

This book distils into a single coherent handbook all the essentials of process automation at a depth sufficient for most practical purposes. The handbook focuses on the knowledge needed to cope with

Science and Technology Studies is a flourishing interdisciplinary field that examines the creation, development, and consequences of science and technology in their cultural, historical, and social c

Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statis

Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that a

Most books on data structures are filled with so many technical details (and lack thorough explanations) that the reading becomes difficult. This accessible, conversational presentation explores data

Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer

This handbook of locally based agricultural practices brings together the best of science and farmer experimentation, vividly illustrating the enormous diversity of shifting cultivation systems as wel

This project started with a focus on measurement, as governments, casino owners, and others are often most interested in the science of gambling. The handbook seeks to serve as a comprehensive referen

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (inc

Secondary data play an increasingly important role in epidemiology and public health research and practice; examples of secondary data sources include national surveys such as the BRFSS and NHIS, claims data for the Medicare and Medicaid systems, and public vital statistics records. Although a wealth of secondary data is available, it is not always easy to locate and access appropriate data to address a research or policy question. This practical guide circumvents these difficulties by providing an introduction to secondary data and issues specific to its management and analysis, followed by an enumeration of major sources of secondary data in the United States. Entries for each data source include the principal focus of the data, years for which it is available, history and methodology of the data collection process, and information about how to access the data and supporting materials, including relevant details about file structure and format.

The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to under

How to plan your future strategy for efficient, cost-saving data management Businesses have historically treated data protection as an afterthought, as simply making an occasional copy of data that c

This volume reviews the challenges and alternative approaches to modeling how individuals change across time and provides methodologies and data analytic strategies for behavioral and social science r

Missing Data in Clinical Studies provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents the reader with approaches to effecti

A concise but thorough introduction to the observational data and theoretical concepts underlying modern astronomy, Astrophysics in a Nutshell is designed for advanced undergraduate science majors tak

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining.

A critical technology in the science of contamination control, environmental monitoring is a technique that provides important data on the quality of a process, processing environment, and final produ

Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in

The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical Analysis of Cost-Effectiveness Data provides a pra

This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of derivi

"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided

A short decade ago, The Biomedical Engineering Handbook debuted and was quickly embraced as the biomedical engineer’s “Bible.” Four years later, the field had grown so dramatically that the handbook w

This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are

In 1982, Springer published the English translation of the Russian book Estimation of Dependencies Based on Empirical Data which became the foundation of the statistical theory of learning and general

Provides historical and current and detailed data on all major U.S. and joint U.S.-foreign space missions--both manned (piloted) and unmanned (science probes) since the 1940's, plus related topics of