Parameter Estimation in Trip Distribution Modeling
Author: Francis Joseph Cesario
Publisher:
Published: 1971
Total Pages: 860
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Francis Joseph Cesario
Publisher:
Published: 1971
Total Pages: 860
ISBN-13:
DOWNLOAD EBOOKAuthor: Cohen
Publisher: CRC Press
Published: 1988-09-13
Total Pages: 422
ISBN-13: 9780824779801
DOWNLOAD EBOOKOffers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily. Anno
Author:
Publisher: Transportation Research Board
Published: 2012
Total Pages: 170
ISBN-13: 0309214009
DOWNLOAD EBOOKTRB’s National Cooperative Highway Research Program (NCHRP) Report 716: Travel Demand Forecasting: Parameters and Techniques provides guidelines on travel demand forecasting procedures and their application for helping to solve common transportation problems.
Author: Zachary C. Abiero-Gariy
Publisher:
Published: 1999
Total Pages: 243
ISBN-13: 9783000041839
DOWNLOAD EBOOKAuthor: Caroline Fisk
Publisher:
Published: 1975
Total Pages: 38
ISBN-13:
DOWNLOAD EBOOKAuthor: James R. Mekemson
Publisher:
Published: 1979
Total Pages: 316
ISBN-13:
DOWNLOAD EBOOKAuthor: Robert G. Schiffer
Publisher: Transportation Research Board
Published: 2012
Total Pages: 144
ISBN-13: 0309258790
DOWNLOAD EBOOK"TRB's National Cooperative Highway Research Program (NCHRP) Report 735: Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models explores transferable parameters for long-distance and rural trip-making for statewide models. Appendixes G, H, and I are not contained in print or PDF versions of the report but are available online. Appendix G presents a series of rural typology variables considered in stratifying model parameters and benchmarks and identifies the statistical significance of each. Appendix H contains rural trip production rates for several different cross-classification schemes and the trip rates associated with each. Finally, Appendix I provides additional information on auto occupancy rates."--Publisher's description.
Author: John William Lund
Publisher:
Published: 1975
Total Pages: 358
ISBN-13:
DOWNLOAD EBOOKAuthor: Karl-Rudolf Koch
Publisher: Springer Science & Business Media
Published: 2013-03-09
Total Pages: 344
ISBN-13: 3662039761
DOWNLOAD EBOOKA treatment of estimating unknown parameters, testing hypotheses and estimating confidence intervals in linear models. Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, the multivariate model, the model with unknown variance and covariance components and the regression model as well as the mixed model for estimating random parameters. A chapter on the robust estimation of parameters and several examples have been added to this second edition. The necessary theorems of vector and matrix algebra and the probability distributions of test statistics are derived so as to make this book self-contained. Geodesy students as well as those in the natural sciences and engineering will find the emphasis on the geodetic application of statistical models extremely useful.
Author: Ne-Zheng Sun
Publisher: Springer
Published: 2015-07-01
Total Pages: 638
ISBN-13: 1493923234
DOWNLOAD EBOOKThis three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design. Part 1 covers the classical inverse problem for parameter estimation in both deterministic and statistical frameworks, Part 2 is dedicated to system identification, hyperparameter estimation, and model dimension reduction, and Part 3 considers how to collect data and construct reliable models for prediction and decision-making. For the first time, topics such as multiscale inversion, stochastic field parameterization, level set method, machine learning, global sensitivity analysis, data assimilation, model uncertainty quantification, robust design, and goal-oriented modeling, are systematically described and summarized in a single book from the perspective of model inversion, and elucidated with numerical examples from environmental and water resources modeling. Readers of this book will not only learn basic concepts and methods for simple parameter estimation, but also get familiar with advanced methods for modeling complex systems. Algorithms for mathematical tools used in this book, such as numerical optimization, automatic differentiation, adaptive parameterization, hierarchical Bayesian, metamodeling, Markov chain Monte Carlo, are covered in details. This book can be used as a reference for graduate and upper level undergraduate students majoring in environmental engineering, hydrology, and geosciences. It also serves as an essential reference book for professionals such as petroleum engineers, mining engineers, chemists, mechanical engineers, biologists, biology and medical engineering, applied mathematicians, and others who perform mathematical modeling.