The Construction Of Optimal Stated Choice Experiments PDF Download
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| Author | : Deborah J. Street |
| Publisher | : John Wiley & Sons |
| Total Pages | : 344 |
| Release | : 2007-07-20 |
| Genre | : Mathematics |
| ISBN | : 0470148551 |
Download The Construction of Optimal Stated Choice Experiments Book in PDF, ePub and Kindle
The most comprehensive and applied discussion of stated choice experiment constructions available The Construction of Optimal Stated Choice Experiments provides an accessible introduction to the construction methods needed to create the best possible designs for use in modeling decision-making. Many aspects of the design of a generic stated choice experiment are independent of its area of application, and until now there has been no single book describing these constructions. This book begins with a brief description of the various areas where stated choice experiments are applicable, including marketing and health economics, transportation, environmental resource economics, and public welfare analysis. The authors focus on recent research results on the construction of optimal and near-optimal choice experiments and conclude with guidelines and insight on how to properly implement these results. Features of the book include: Construction of generic stated choice experiments for the estimation of main effects only, as well as experiments for the estimation of main effects plus two-factor interactions Constructions for choice sets of any size and for attributes with any number of levels A discussion of designs that contain a none option or a common base option Practical techniques for the implementation of the constructions Class-tested material that presents theoretical discussion of optimal design Complete and extensive references to the mathematical and statistical literature for the constructions Exercise sets in most chapters, which reinforce the understanding of the presented material The Construction of Optimal Stated Choice Experiments serves as an invaluable reference guide for applied statisticians and practitioners in the areas of marketing, health economics, transport, and environmental evaluation. It is also ideal as a supplemental text for courses in the design of experiments, decision support systems, and choice models. A companion web site is available for readers to access web-based software that can be used to implement the constructions described in the book.
| Author | : Mandy Ryan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 265 |
| Release | : 2007-10-23 |
| Genre | : Business & Economics |
| ISBN | : 1402057539 |
Download Using Discrete Choice Experiments to Value Health and Health Care Book in PDF, ePub and Kindle
This work takes a fresh and contemporary look at the growing interest in the development and application of discrete choice experiments (DCEs) within the field of health economics. The book comprises chapters by highly regarded academics with experience of applying DCEs in the area of health. Thus the book is relevant to post-graduate students and applied researchers with an interest in the use of DCEs for valuing health and health care and has international appeal.
| Author | : |
| Publisher | : |
| Total Pages | : 223 |
| Release | : 2005 |
| Genre | : |
| ISBN | : |
Download Designs for Stated Preference Experiments Book in PDF, ePub and Kindle
We explore the use of different strategies for the construction of optimal choice experiments and their impact on the overall efficiency of the resulting design. We then evaluate how these choice designs meet the desired characteristics of optimal choice designs (orthogonality, level balance, utility balance and minimum level overlap). We further explore the feasibility of using entropy as a secondary measure of design optimality. We find that current algorithms afford little flexibility for using this secondary measure. We further study the impact of misspecification of the assumed parameter values used in creation of optimal choice designs. We find that the impact of misspecification varies widely based on the discrepancy between the true and assumed parameter values. Further we find that entropy becomes a more feasible secondary measure of design optimality if one considers the potential of misspecification of the values. Current design and analysis strategies for stated preference experiments assume that compensatory decisions are made. We consider how different decision strategies may be represented through manipulating the assumed parameter values used in creating the choice designs. In this context, the consequences of misspecification of the decision strategy are also evaluated. Given the large prevalence of no-choice choices in stated preference experiments, we study how different measures of choice complexity impact the selection of the no-choice alternative. We conclude by suggesting a comprehensive strategy that should be followed in the creation of choice designs.
| Author | : Stephane Hess |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 721 |
| Release | : 2014-08-29 |
| Genre | : Business & Economics |
| ISBN | : 1781003157 |
Download Handbook of Choice Modelling Book in PDF, ePub and Kindle
The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for d
| Author | : Barbara J. Kanninen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 344 |
| Release | : 2007-05-31 |
| Genre | : Business & Economics |
| ISBN | : 1402053134 |
Download Valuing Environmental Amenities Using Stated Choice Studies Book in PDF, ePub and Kindle
This book provides practical, research-based advice on how to conduct high-quality stated choice studies. It covers every aspect of the topic, from planning and writing the survey, to analyzing results, to evaluating quality. There is no other book on the market today that so thoroughly addresses the methodology of stated choice. Chapters are written by top-notch academics and practitioners in an accessible style, offering practical, tough advice.
| Author | : George E. P. Box |
| Publisher | : John Wiley & Sons |
| Total Pages | : 880 |
| Release | : 2007-01-22 |
| Genre | : Mathematics |
| ISBN | : 047007275X |
Download Response Surfaces, Mixtures, and Ridge Analyses Book in PDF, ePub and Kindle
The authority on building empirical models and the fitting of such surfaces to data—completely updated and revised Revising and updating a volume that represents the essential source on building empirical models, George Box and Norman Draper—renowned authorities in this field—continue to set the standard with the Second Edition of Response Surfaces, Mixtures, and Ridge Analyses, providing timely new techniques, new exercises, and expanded material. A comprehensive introduction to building empirical models, this book presents the general philosophy and computational details of a number of important topics, including factorial designs at two levels; fitting first and second-order models; adequacy of estimation and the use of transformation; and occurrence and elucidation of ridge systems. Substantially rewritten, the Second Edition reflects the emergence of ridge analysis of second-order response surfaces as a very practical tool that can be easily applied in a variety of circumstances. This unique, fully developed coverage of ridge analysis—a technique for exploring quadratic response surfaces including surfaces in the space of mixture ingredients and/or subject to linear restrictions—includes MINITAB® routines for performing the calculations for any number of dimensions. Many additional figures are included in the new edition, and new exercises (many based on data from published papers) offer insight into the methods used. The exercises and their solutions provide a variety of supplementary examples of response surface use, forming an extremely important component of the text. Response Surfaces, Mixtures, and Ridge Analyses, Second Edition presents material in a logical and understandable arrangement and includes six new chapters covering an up-to-date presentation of standard ridge analysis (without restrictions); design and analysis of mixtures experiments; ridge analysis methods when there are linear restrictions in the experimental space including the mixtures experiments case, with or without further linear restrictions; and canonical reduction of second-order response surfaces in the foregoing general case. Additional features in the new edition include: New exercises with worked answers added throughout An extensive revision of Chapter 5: Blocking and Fractionating 2k Designs Additional discussion on the projection of two-level designs into lower dimensional spaces This is an ideal reference for researchers as well as a primary text for Response Surface Methodology graduate-level courses and a supplementary text for Design of Experiments courses at the upper-undergraduate and beginning-graduate levels.
| Author | : Peter Goos |
| Publisher | : John Wiley & Sons |
| Total Pages | : 249 |
| Release | : 2011-06-28 |
| Genre | : Science |
| ISBN | : 1119976162 |
Download Optimal Design of Experiments Book in PDF, ePub and Kindle
"This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.
| Author | : Kenneth Train |
| Publisher | : Cambridge University Press |
| Total Pages | : 399 |
| Release | : 2009-07-06 |
| Genre | : Business & Economics |
| ISBN | : 0521766559 |
Download Discrete Choice Methods with Simulation Book in PDF, ePub and Kindle
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
| Author | : Patricia A. Champ |
| Publisher | : Springer |
| Total Pages | : 508 |
| Release | : 2017-02-08 |
| Genre | : Business & Economics |
| ISBN | : 9400771045 |
Download A Primer on Nonmarket Valuation Book in PDF, ePub and Kindle
This is a practical book with clear descriptions of the most commonly used nonmarket methods. The first chapters of the book provide the context and theoretical foundation of nonmarket valuation along with a discussion of data collection procedures. The middle chapters describe the major stated- and revealed-preference valuation methods. For each method, the steps involved in implementation are laid out and carefully explained with supporting references from the published literature. The final chapters of the book examine the relevance of experimentation to economic valuation, the transfer of existing nonmarket values to new settings, and assessments of the reliability and validity of nonmarket values. The book is relevant to individuals in many professions at all career levels. Professionals in government agencies, attorneys involved with natural resource damage assessments, graduate students, and others will appreciate the thorough descriptions of how to design, implement, and analyze a nonmarket valuation study.
| Author | : Kirti R. Shah |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 179 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461236622 |
Download Theory of Optimal Designs Book in PDF, ePub and Kindle
There has been an enormous growth in recent years in the literature on discrete optimal designs. The optimality problems have been formulated in various models arising in the experimental designs and substantial progress has been made towards solving some of these. The subject has now reached a stage of completeness which calls for a self-contained monograph on this topic. The aim of this monograph is to present the state of the art and to focus on more recent advances in this rapidly developing area. We start with a discussion of statistical optimality criteria in Chapter One. Chapters Two and Three deal with optimal block designs. Row-column designs are dealt with in Chapter Four. In Chapter Five we deal with optimal designs with mixed effects models. Repeated measurement designs are considered in Chapter Six. Chapter Seven deals with some special situations and Weighing designs are dis cussed in Chapter Eight. We have endeavoured to include all the major developments that have taken place in the last three decades. The book should be of use to research workers in several areas including combinatorics as well as to the experimenters in diverse fields of applications. Since the details of the construction of the designs are available in excellent books, we have only pointed out the designs which have optimality proper ties. We believe, this will be adequate for the experimenters.
