Introduction to the Use of Linear Regression Analysis in Transportation Planning PDF Download
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Author:
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages :
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Book Description
Author: Michael J. Bruton
Publisher: Routledge
ISBN:
Category : Architecture
Languages : en
Pages : 296
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Book Description
Intended as an introductory text to transportation planning, this book covers the traffic estimation stage of the planning process, and forms a general guide and survey to the total subject. This third edition reflects the growing importance of computers in transportation planning.
Author: Michael J. Bruton
Publisher: Routledge
ISBN: 1000361454
Category : Transportation
Languages : en
Pages : 300
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Book Description
When originally published in 1975, (here re-issuing the 3rd edition of 1985), this was the only genuinely introductory textbook to the subject of transportation planning. The introductory chapter places the issue of transport in its broader societal context, relating it to demographic, socio-economic, political and environmental considerations. The increasing importance of technology is recognized in the chapter which covers commonly used software packages. As a whole the book provides a basic introduction to the traffic estimation stage of the transport planning process and forms a general guide and survey to the whole subject.
Author: Peter R. Stopher
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 380
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Book Description
Author: Douglas C. Montgomery
Publisher: Wiley-Interscience
ISBN:
Category : Computers
Languages : en
Pages : 680
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Book Description
A comprehensive and thoroughly up-to-date look at regression analysis-still the most widely used technique in statistics today As basic to statistics as the Pythagorean theorem is to geometry, regression analysis is a statistical technique for investigating and modeling the relationship between variables. With far-reaching applications in almost every field, regression analysis is used in engineering, the physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Clearly balancing theory with applications, Introduction to Linear Regression Analysis describes conventional uses of the technique, as well as less common ones, placing linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. Succeeding chapters include detailed coverage of: ? Indicator variables, making the connection between regression and analysis-of-variance modelss ? Variable selection and model-building techniques ? The multicollinearity problem, including its sources, harmful effects, diagnostics, and remedial measures ? Robust regression techniques, including M-estimators, Least Median of Squares, and S-estimation ? Generalized linear models The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation. Topics not usually found in a linear regression textbook, such as nonlinear regression and generalized linear models, yet critical to engineering students and professionals, have also been included. The new critical role of the computer in regression analysis is reflected in the book's expanded discussion of regression diagnostics, where major analytical procedures now available in contemporary software packages, such as SAS, Minitab, and S-Plus, are detailed. The Appendix now includes ample background material on the theory of linear models underlying regression analysis. Data sets from the book, extensive problem solutions, and software hints are available on the ftp site. For other Wiley books by Doug Montgomery, visit our website at www.wiley.com/college/montgomery.
Author: P.F. Wendt
Publisher: Springer Science & Business Media
ISBN: 1461343607
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
The idea for this book had its origins in a series of working papers prepared for the Georgia Transportation Planning Land Use Model project. The book is not an official report on that project and does not necessarily reflect the views of the Georgia Department of Transportation. Mrs. Catherine Bennett, Systems Designer, assisted in the special run of the Georgia State Econometric Model in Chapter 2. Mr. Richard Burns and Miss Louise Shedd, research assistant!i, aided in data assembly and analysis for Chapters 3 and 5. The authors wish to express their particular thanks to Mrs. Dallas Gonzales, who provided editorial assistance, and to Mrs. Deborah Conklin, who typed the final manuscript. Table of contents PREFACE v LIST OF TABLES x LIST OF FIGURES xii 1. INTRODUCTION AND OVERVIEW PAUL F. WENDT Urban growth theories 1 Land use models 4 The Georgia transportation planning land use model 6 Employment and population submodel 7 Description of the Delphi technique 8 Housing and population submodel 9 Relationships between land use forecasting 10 Summary 12 2. NATIONAL AND REGIONAL ECONOMETRIC MODELS 16 JOHN B. LEGLER AND TERRY D. ROBERTSON Macro-econometric models 16 Problems in constructing regional econometric models 19 The Georgia model 20 Testing the Georgia model 22 Forecasts and applications of the Georgia model 25 An example of impact analysis using the Georgia state model 28 Summary 30 3. GROWTH AND CHANGE IN THE GEORGIA REGIONAL ECONOMIES 32 CHARLES F.
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1118548507
Category : Mathematics
Languages : en
Pages : 112
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Book Description
As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.
Author: Sandra E. Ryan
Publisher:
ISBN:
Category : River sediments
Languages : en
Pages : 48
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Book Description
"This tutorial demonstrates the application of piecewise regression to bedload data to define a shift in phase of transport so that the reader may perform similar analyses on available data. The use of piecewise regression analysis implicitly recognizes different functions fit to bedload data over varying ranges of flow. The transition from primarily low rates of sand transport (Phase I) to higher rates of sand and coarse gravel transport (Phase II) is termed "breakpoint" and is defined as the flow where the fitted functions intersect. The form of the model used here fits linear segments to different ranges of data, though other types of functions may be used. Identifying the transition in phases is one approach used for defining flow regimes that are essential for self-maintenance of alluvial gravel bed channels. First, the statistical theory behind piecewise regression analysis and its procedural approaches are presented. The reader is then guided through an example procedure and the code for generating an analysis in SAS is outlined. The results from piecewise regression analysis from a number of additional bedload datasets are presented to help the reader understand the range of estimated values and confidence limits on the breakpoint that the analysis provides. The identification and resolution of problems encountered in bedload datasets are also discussed. Finally, recommendations on a minimal number of samples required for the analysis are proposed."
Author: Rubén Cordera
Publisher: CRC Press
ISBN: 135136152X
Category : Architecture
Languages : en
Pages : 221
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Book Description
Transport and the spatial location of population and activities have been important themes of study in engineering, social sciences and urban and regional planning for many decades. However, an integrated approach to the modelling of transport and land use has been rarely made, and common practice has been to model both phenomena independently. This book presents an introduction to the modelling of land use and transport interaction (LUTI), with a theoretical basis and a presentation of the broad state of the art. It also sets out the steps for building an operational LUTI model to provide a concrete application. The authors bring extensive experience in this cross-disciplinary field, primarily for an academic audience and for professionals seeking a thorough introduction.
Author: Douglas C. Montgomery
Publisher: Wiley
ISBN: 9781119578710
Category : Mathematics
Languages : en
Pages : 944
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Book Description
A comprehensive and up-to-date introduction to the fundamentals of regression analysis This set includes Introduction to Linear Regression Analysis, Sixth Edition and the Solutions Manual to accompany the text. This book continues to present both the conventional and less common uses of linear regression in today's cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Introduction to Linear Regression Analysis is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.
