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Author: Jonathan Ansari
Publisher: Springer Nature
ISBN: 3031659937
Category :
Languages : en
Pages : 579
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Book Description
Author: Jonathan Ansari
Publisher: Springer Nature
ISBN: 3031659937
Category :
Languages : en
Pages : 579
Get Book Here
Book Description
Author: Juyoung Song
Publisher: Cambridge Scholars Publishing
ISBN: 1527536793
Category : Social Science
Languages : en
Pages : 311
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Book Description
This book provides a detailed description of the entire study process concerning gathering and analysing big data and making observations to develop a crime-prediction model that utilizes its findings. It offers an in-depth discussion of several processes, including text mining, which extracts useful information from online documents; opinion mining, which analyses the emotions contained in documents; machine learning for crime prediction; and visualization analysis. To accurately predict crimes using machine learning, it is necessary to procure high-quality training data. Machine learning combined with high-quality data can be used to develop excellent crime-prediction artificial intelligences. As such, the book will serve to be a practical guide to anyone wishing to predict rapidly-changing social phenomena and draw creative conclusions using big-data analysis.
Author: Scott W. Menard
Publisher: SAGE
ISBN: 1412974836
Category : Mathematics
Languages : en
Pages : 393
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Book Description
Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.
Author: Lesa Hoffman
Publisher: Routledge
ISBN: 1317591089
Category : Psychology
Languages : en
Pages : 867
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Book Description
Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. Written for non-mathematically-oriented readers, this text features: A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data An emphasis on how the terminology, interpretation, and estimation of familiar general linear models relates to those of more complex models for longitudinal data Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers’ understanding of the overall model-building process Sample results sections for each example to provide useful templates for published reports Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus at www.PilesOfVariance.com to help readers apply the models to their own data The book opens with the building blocks of longitudinal analysis—general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data. Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book’s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.
Author: Wenzhong Shi
Publisher: CRC Press
ISBN: 1420059289
Category : Mathematics
Languages : en
Pages : 456
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Book Description
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t
Author: V. A. Kalyagin
Publisher: Springer Nature
ISBN: 3030602931
Category : Mathematics
Languages : en
Pages : 101
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Book Description
This book studies complex systems with elements represented by random variables. Its main goal is to study and compare uncertainty of algorithms of network structure identification with applications to market network analysis. For this, a mathematical model of random variable network is introduced, uncertainty of identification procedure is defined through a risk function, random variables networks with different measures of similarity (dependence) are discussed, and general statistical properties of identification algorithms are studied. The volume also introduces a new class of identification algorithms based on a new measure of similarity and prove its robustness in a large class of distributions, and presents applications to social networks, power transmission grids, telecommunication networks, stock market networks, and brain networks through a theoretical analysis that identifies network structures. Both researchers and graduate students in computer science, mathematics, and optimization will find the applications and techniques presented useful.
Author: Peter J. Carrington
Publisher: Cambridge University Press
ISBN: 9781139443432
Category : Social Science
Languages : en
Pages : 354
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Book Description
Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
Author: Peter Hackl
Publisher: Springer Science & Business Media
ISBN: 366202571X
Category : Business & Economics
Languages : en
Pages : 495
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Book Description
In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change. The research team was to examine the commodity composition as well as the size and direction of commodity and credit flows among countries and regions. Krelle (1988) reports on the results of this "Bonn-IIASA" research project. At the same time, an informal IIASA Working Group was initiated to deal with prob lems of the statistical analysis of economic data in the context of structural change: What tools do we have to identify nonconstancy of model parameters? What type of models are particularly applicable to nonconstant structure? How is forecasting affected by the presence of nonconstant structure? What problems should be anticipated in applying these tools and models? Some 50 experts, mainly statisticians or econometricians from about 15 countries, came together in Lodz, Poland (May 1985); Berlin, GDR (June 1986); and Sulejov, Poland (September 1986) to present and discuss their findings. This volume contains a selected set of those conference contributions as well as several specially invited chapters.
Author: Kay Deaux
Publisher: Oxford University Press
ISBN: 0190870028
Category : Psychology
Languages : en
Pages : 993
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Book Description
The second edition of The Oxford Handbook of Personality and Social Psychology beautifully captures the history, current status, and future prospects of personality and social psychology. Building on the successes and strengths of the first edition, this second edition of the Handbook combines the two fields of personality and social psychology into a single, integrated volume, offering readers a unique and generative agenda for psychology. Over their history, personality and social psychology have had varying relationships with each other-sometimes highly overlapping and intertwined, other times contrasting and competing. Edited by Kay Deaux and Mark Snyder, this Handbook is dedicated to the proposition that personality and social psychology are best viewed in conjunction with one another and that the synergy to be gained from considering links between the two fields can do much to move both areas of research forward in order to better enrich our collective understanding of human nature. Contributors to this Handbook not only offer readers fascinating examples of work that cross the boundaries of personality and social psychology, but present their work in such a way that thinks deeply about the ways in which a unified social-personality perspective can provide us with a greater understanding of the phenomena that concern psychological investigators. The chapters of this Handbook effortlessly weave together work from both disciplines, not only in areas of longstanding concern, but also in newly emerging fields of inquiry, addressing both distinctive contributions and common ground. In so doing, they offer compelling evidence for the power and the potential of an integrated approach to personality and social psychology today.
Author: George C. S. Wang
Publisher: Institute of Business Forec
ISBN: 9780932126504
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
