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Statistical Computing Environments for Social Research

sciences and statistics, Statistical Computing Environments for Social Research describes seven statistical computing environments--APL2STAT, GAUSS;

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Statistical Computing Environments for Social Research

sciences and statistics, Statistical Computing Environments for Social Research describes seven statistical computing environments--APL2STAT, GAUSS;

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Intelligent Systems

, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical;

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Numerical Issues In Statistical Computing For The Social Scientist

on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social;

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Basic Statistics for Social Research

range of tests than other introductory texts * Contains a comprehensive range of exercises with answers. Basic Statistics for Social Research;

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Fundamental Statistics for Social Research

Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable;

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Fundamental Statistics for Social Research

Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable;

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Global Virtual Enterprises in Cloud Computing Environments

business strategy, virtual reality, and intellectual capital, this book is ideally designed for corporate executives, research scholars, and;

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Handbook of Parallel Computing and Statistics

, and application of algorithms for solving statistical problems. After a brief introduction to parallel computing, the book explores the;

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High-Performance Computing on Complex Environments

. The book provides recent research results in high-performance computing on complex environments, information on how to efficiently exploit;

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Statistical Computing with R, Second Edition

in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational;

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Computational Social Science

simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information;

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Statistical Applications for the Behavioral and Social Sciences

as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social;

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Fog Computing Theory and Practice

-Machine (M2M) communication methods for fog computing environments are covered in depth. Presented in two parts-Fog Computing Systems and;

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Statistical Modelling for Social Researchers

practice developing statistical models. An ideal tool for postgraduate social science students, research students and practicing social;

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Statistical Modelling for Social Researchers

practice developing statistical models. An ideal tool for postgraduate social science students, research students and practicing social;

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JMP for Basic Univariate and Multivariate Statistics

Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields;

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Privacy and Security for Cloud Computing

leading experts, the text presents both a solid overview of the field and novel, cutting-edge research. A Glossary is also included at the end;

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Reliability and Statistical Computing

between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;

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Reliability and Statistical Computing

between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18;

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Elements of Statistical Computing

development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements;

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Statistical Computing

In this book the authors have assembled the best techniques from a great variety of sources, establishing a benchmark for the field;

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Data Science and Big Data Analytics in Smart Environments

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house;

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Making Sense of Statistical Methods in Social Research

Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It;

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Introdu To Statistical Computing

for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction;

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Statistical Computing with R

statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to;

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Crowdsourcing and Knowledge Management in Contemporary Business Environments

managers, business professionals, business and social researchers, graduate-level students, and academicians seeking current research on the;

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