George David Garson – författare & böcker

Neural Networks

An Introductory Guide for Social Scientists

Inbunden, Engelska, 1998

3 176 kr

Skickas inom 3-6 vardagar

This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.

Neural Networks

An Introductory Guide for Social Scientists

AvGeorge David Garson

Häftad, Engelska, 1998

1 667 kr

Skickas inom 3-6 vardagar

This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.

Del 87 - Quantitative Applications in the Social Sciences

Analytic Mapping and Geographic Databases

AvGeorge David Garson,Robert S. Biggsm. fl.

Häftad, Engelska, 1992

784 kr

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Nearly 80% of the informational needs of local government policymakers are related to geographic location. As a result, the techniques of analytic mapping (the study of the dynamic diffusion and distribution of any variable across area and over time) and of geographic information systems (GIS) have become increasingly important tools for analyzing census, crime, environmental and consumer data. The authors of this significant little volume discuss data access, transformation and preparation issues, and how to select the appropriate analytic graphics techniques through a review of various GIS and common data sources: census products, TIGER files, and CD-ROM access. Garson and Biggs describe each procedure, review its assumptions and requirements, and provide illustrative output for sample data using selected software. Researchers and administrators who need to manage data of geographic locations will find Analytic Mapping and Geographic Databases a useful guide for systems storing, retrieving, analyzing, and displaying this information.

Neural Networks

An Introductory Guide for Social Scientists

SAGE Publications

2010

846 kr

Skickas

This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.

Hierarchical Linear Modeling

Guide and Applications

AvG. David Garson,George David Garson

Häftad, Engelska, 2012

2 248 kr

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Hierarchical Linear Modeling provides a brief, easy-to-read guide to implementing hierarchical linear modeling using three leading software platforms, followed by a set of original "how-to" application articles following a standardized instructional format. The Guide portion consists of five chapters that provide an overview of HLM, discussion of methodological assumptions, and parallel worked model examples in SPSS, SAS, and HLM software. The Applications portion consists of ten contributions in which authors provide step-by-step presentations of how HLM is implemented and reported for introductory to intermediate applications.

"The book covers the three most widely accessible statistical programs for multilevel modeling rather than just focusing on one. . . . An excellent tool for researchers who are beginning to learn multilevel modeling, as well as a great resource for experienced researchers who want to learn a different statistical program for multilevel models." —Debbie L. Hahs-Vaughn, University of Central Florida

"The intelligent use of the examples helps explain both the conceptual framework of HLM and its basic individual applications."—Luis L. Cabo, Mercyhurst College

Multilevel Modeling

Applications in STATA®, IBM® SPSS®, SAS®, R, & HLM™

SAGE Publications

2019

1 027 kr

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Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R & HLM™ provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences. Author G. David Garson’s step-by-step instructions for software walk readers through each package. The instructions for the different platforms allow students to get a running start using the package with which they are most familiar while the instructor can start teaching the concepts of multilevel modeling right away. Instructors will find this text serves as both a comprehensive resource for their students and a foundation for their teaching alike.

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George David Garson – författare

Neural Networks

Neural Networks

Analytic Mapping and Geographic Databases

Neural Networks

Hierarchical Linear Modeling

Multilevel Modeling

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Mina sidor

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