Experimental Design And Model Choice
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Author | : David A. Hensher |
Publisher | : Cambridge University Press |
Total Pages | : 1219 |
Release | : 2015-06-11 |
Genre | : Business & Economics |
ISBN | : 1107092647 |
A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.
Author | : Helge Toutenburg |
Publisher | : Springer Science & Business Media |
Total Pages | : 469 |
Release | : 2013-11-11 |
Genre | : Business & Economics |
ISBN | : 3642524982 |
This textbook gives a representation of the design and analysis of experiments, that comprises the aspects of classical theory for continuous response and of modern procedures for categorical response, and especially for correlated categorical response. Complex designs, as for example, cross-over and repeated measures, are included. Thus, it is an important book for statisticians in the pharmaceutical industry as well as for clinical research in medicine and dentistry.
Author | : Stephane Hess |
Publisher | : Edward Elgar Publishing |
Total Pages | : 721 |
Release | : 2014-08-29 |
Genre | : Business & Economics |
ISBN | : 1781003157 |
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 | : Deborah J. Street |
Publisher | : John Wiley & Sons |
Total Pages | : 344 |
Release | : 2007-07-20 |
Genre | : Mathematics |
ISBN | : 0470148551 |
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 | : Christos P. Kitsos |
Publisher | : Springer Science & Business Media |
Total Pages | : 104 |
Release | : 2014-01-09 |
Genre | : Mathematics |
ISBN | : 3642452876 |
This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engineers, Chemists and Physicists will find new approaches to conducting their experiments. The book is recommended for Graduate Students and Researchers.
Author | : Eduardo Gil |
Publisher | : Springer |
Total Pages | : 897 |
Release | : 2018-02-28 |
Genre | : Technology & Engineering |
ISBN | : 3319738488 |
This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO). In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and data, it is necessary to consider formal ideas and develop scientific approaches and techniques for dealing with uncertainty. Mathematics is crucial in this endeavor, as this book demonstrates. As Professor Pedro Gil highlighted twenty years ago, there are several well-known mathematical branches for this purpose, including Mathematics of chance (Probability and Statistics), Mathematics of communication (Information Theory), and Mathematics of imprecision (Fuzzy Sets Theory and others). These branches often intertwine, since different sources of uncertainty can coexist, and they are not exhaustive. While most of the papers presented here address the three aforementioned fields, some hail from other Mathematical disciplines such as Operations Research; others, in turn, put the spotlight on real-world studies and applications. The intended audience of this book is mainly statisticians, mathematicians and computer scientists, but practitioners in these areas will certainly also find the book a very interesting read.
Author | : Barbara J. Kanninen |
Publisher | : Springer Science & Business Media |
Total Pages | : 344 |
Release | : 2007-05-31 |
Genre | : Business & Economics |
ISBN | : 1402053134 |
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 | : Max Morris |
Publisher | : CRC Press |
Total Pages | : 376 |
Release | : 2010-07-27 |
Genre | : Mathematics |
ISBN | : 1439894906 |
Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experiment
Author | : Ronald Christensen |
Publisher | : Springer Science & Business Media |
Total Pages | : 480 |
Release | : 1996 |
Genre | : Mathematics |
ISBN | : |
This textbook provides a wide-ranging introduction to the use of linear models in analyzing data. The author's emphasis is on providing a unified treatment of the analysis of variance models and regression models by presenting a vector space and projections approach to the subject. Every chapter comes with numerous exercises and examples, which will make it ideal for a graduate-level course on this subject.
Author | : Michael H. Herzog |
Publisher | : Springer |
Total Pages | : 146 |
Release | : 2019-08-13 |
Genre | : Science |
ISBN | : 3030034992 |
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.