Moda 10 Advances In Model Oriented Design And Analysis

Author : Dariusz Ucinski,Anthony C. Atkinson,Maciej Patan
Publisher : Springer Science & Business Media
Page : 254 pages
File Size : 46,7 Mb
Release : 2013-03-21
Category : Mathematics
ISBN : 9783319002187

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mODa 10 – Advances in Model-Oriented Design and Analysis by Dariusz Ucinski,Anthony C. Atkinson,Maciej Patan Pdf

This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa). A model-oriented view on the design of experiments, which is the unifying theme of all mODa meetings, assumes some knowledge of the form of the data-generating process and naturally leads to the so-called optimum experimental design. Its theory and practice have since become important in many scientific and technological fields, ranging from optimal designs for dynamic models in pharmacological research, to designs for industrial experimentation, to designs for simulation experiments in environmental risk management, to name but a few. The methodology has become even more important in recent years because of the increased speed of scientific developments, the complexity of the systems currently under investigation and the mounting pressure on businesses, industries and scientific researchers to reduce product and process development times. This increased competition requires ever increasing efficiency in experimentation, thus necessitating new statistical designs. This book presents a rich collection of carefully selected contributions ranging from statistical methodology to emerging applications. It primarily aims to provide an overview of recent advances and challenges in the field, especially in the context of new formulations, methods and state-of-the-art algorithms. The topics included in this volume will be of interest to all scientists and engineers and statisticians who conduct experiments.

Author : Joachim Kunert,Christine H. Müller,Anthony C. Atkinson
Publisher : Springer
Page : 254 pages
File Size : 48,6 Mb
Release : 2016-06-06
Category : Mathematics
ISBN : 9783319312668

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mODa 11 - Advances in Model-Oriented Design and Analysis by Joachim Kunert,Christine H. Müller,Anthony C. Atkinson Pdf

This volume contains pioneering contributions to both the theory and practice of optimal experimental design. Topics include the optimality of designs in linear and nonlinear models, as well as designs for correlated observations and for sequential experimentation. There is an emphasis on applications to medicine, in particular, to the design of clinical trials. Scientists from Europe, the US, Asia, Australia and Africa contributed to this volume of papers from the 11th Workshop on Model Oriented Design and Analysis.

Author : Alessandra Giovagnoli,Anthony C. Atkinson,Bernard Torsney,Caterina May
Publisher : Springer Science & Business Media
Page : 239 pages
File Size : 55,5 Mb
Release : 2010-06-10
Category : Mathematics
ISBN : 9783790824100

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mODa 9 – Advances in Model-Oriented Design and Analysis by Alessandra Giovagnoli,Anthony C. Atkinson,Bernard Torsney,Caterina May Pdf

Statisticians and experimentalists will find the latest trends in optimal experimental design research. Some papers are pioneering contributions, leading to new open research problems. It is a colection of peer reviewed papers.

Author : Anthony C. Atkinson,Peter Hackl,Werner G. Müller
Publisher : Springer Science & Business Media
Page : 288 pages
File Size : 51,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642575761

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MODA 6 - Advances in Model-Oriented Design and Analysis by Anthony C. Atkinson,Peter Hackl,Werner G. Müller Pdf

This book includes many of the papers presented at the 6th International workshop on Model Oriented Data Analysis held in June 2001. This series began in March 1987 with a meeting on the Wartburg near Eisenach (at that time in the GDR). The next four meetings were in 1990 (St Kyrik monastery, Bulgaria), 1992 (Petrodvorets, St Petersburg, Russia), 1995 (Spetses, Greece) and 1998 (Marseilles, France). Initially the main purpose of these workshops was to bring together leading scientists from 'Eastern' and 'Western' Europe for the exchange of ideas in theoretical and applied statistics, with special emphasis on experimental design. Now that the sep aration between East and West is much less rigid, this exchange has, in principle, become much easier. However, it is still important to provide opportunities for this interaction. MODA meetings are celebrated for their friendly atmosphere. Indeed, dis cussions between young and senior scientists at these meetings have resulted in several fruitful long-term collaborations. This intellectually stimulating atmosphere is achieved by limiting the number of participants to around eighty, by the choice of a location in which communal living is encour aged and, of course, through the careful scientific direction provided by the Programme Committee. It is a tradition of these meetings to provide low cost accommodation, low fees and financial support for the travel of young and Eastern participants. This is only possible through the help of sponsors and outside financial support was again important for the success of the meeting.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 51,7 Mb
Release : 2010
Category : Electronic
ISBN : 1283003198

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MODa 9 - Advances in Model-Oriented Design and Analysis by Anonim Pdf

Author : Alessandro Di Bucchianico,Henning Läuter,Henry P. Wynn
Publisher : Springer Science & Business Media
Page : 66 pages
File Size : 46,8 Mb
Release : 2004-05-18
Category : Business & Economics
ISBN : 3790802131

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MODA 7 - Advances in Model-Oriented Design and Analysis by Alessandro Di Bucchianico,Henning Läuter,Henry P. Wynn Pdf

The volume contains the proceedings of the 7th Workshop on Model-Oriented Design and Analysis which has had the purpose of bringing together leading researchers in Eastern and Western Europe for an in-depth discussion of the optimal design of experiments. The papers are representative of the latest developments concerning non-linear models, computational algorithms and important applications, especially to medical statistics.

Author : Alessandro Di Bucchianico,Henning Läuter,Henry P. Wynn
Publisher : Springer Science & Business Media
Page : 239 pages
File Size : 45,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783790826937

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MODA 7 - Advances in Model-Oriented Design and Analysis by Alessandro Di Bucchianico,Henning Läuter,Henry P. Wynn Pdf

The volume contains the proceedings of the 7th Workshop on Model-Oriented Design and Analysis which has had the purpose of bringing together leading researchers in Eastern and Western Europe for an in-depth discussion of the optimal design of experiments. The papers are representative of the latest developments concerning non-linear models, computational algorithms and important applications, especially to medical statistics.

Author : Jesus Lopez-Fidalgo,Juan Manuel Rodríguez-Díaz,Bernard Torsney
Publisher : Springer Science & Business Media
Page : 241 pages
File Size : 48,9 Mb
Release : 2007-05-14
Category : Mathematics
ISBN : 9783790819526

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mODa 8 - Advances in Model-Oriented Design and Analysis by Jesus Lopez-Fidalgo,Juan Manuel Rodríguez-Díaz,Bernard Torsney Pdf

This volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. It offers leading and pioneering work on optimal experimental designs, both from a mathematical/statistical point of view and with regard to real applications. Scientists from all over the world have contributed to this volume. Primary topics are designs for nonlinear models and applications to experimental medicine.

Author : Anonim
Publisher : Unknown
Page : 282 pages
File Size : 49,6 Mb
Release : 2001
Category : Experimental design
ISBN : OCLC:847549817

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MODa 6, Advances in Model-oriented Design and Analysis by Anonim Pdf

Author : Angela Dean,Max Morris,John Stufken,Derek Bingham
Publisher : CRC Press
Page : 946 pages
File Size : 51,7 Mb
Release : 2015-06-26
Category : Mathematics
ISBN : 9781466504349

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Handbook of Design and Analysis of Experiments by Angela Dean,Max Morris,John Stufken,Derek Bingham Pdf

This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.

Author : John O'Quigley,Alexia Iasonos,Björn Bornkamp
Publisher : CRC Press
Page : 306 pages
File Size : 50,9 Mb
Release : 2017-04-27
Category : Mathematics
ISBN : 9781498746113

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Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials by John O'Quigley,Alexia Iasonos,Björn Bornkamp Pdf

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials gives a thorough presentation of state-of-the-art methods for early phase clinical trials. The methodology of clinical trials has advanced greatly over the last 20 years and, arguably, nowhere greater than that of early phase studies. The need to accelerate drug development in a rapidly evolving context of targeted therapies, immunotherapy, combination treatments and complex group structures has provided the stimulus to these advances. Typically, we deal with very small samples, sequential methods that need to be efficient, while, at the same time adhering to ethical principles due to the involvement of human subjects. Statistical inference is difficult since the standard techniques of maximum likelihood do not usually apply as a result of model misspecification and parameter estimates lying on the boundary of the parameter space. Bayesian methods play an important part in overcoming these difficulties, but nonetheless, require special consideration in this particular context. The purpose of this handbook is to provide an expanded summary of the field as it stands and also, through discussion, provide insights into the thinking of leaders in the field as to the potential developments of the years ahead. With this goal in mind we present: An introduction to the field for graduate students and novices A basis for more established researchers from which to build A collection of material for an advanced course in early phase clinical trials A comprehensive guide to available methodology for practicing statisticians on the design and analysis of dose-finding experiments An extensive guide for the multiple comparison and modeling (MCP-Mod) dose-finding approach, adaptive two-stage designs for dose finding, as well as dose–time–response models and multiple testing in the context of confirmatory dose-finding studies. John O’Quigley is a professor of mathematics and research director at the French National Institute for Health and Medical Research based at the Faculty of Mathematics, University Pierre and Marie Curie in Paris, France. He is author of Proportional Hazards Regression and has published extensively in the field of dose finding. Alexia Iasonos is an associate attending biostatistician at the Memorial Sloan Kettering Cancer Center in New York. She has over one hundred publications in the leading statistical and clinical journals on the methodology and design of early phase clinical trials. Dr. Iasonos has wide experience in the actual implementation of model based early phase trials and has given courses in scientific meetings internationally. Björn Bornkamp is a statistical methodologist at Novartis in Basel, Switzerland, researching and implementing dose-finding designs in Phase II clinical trials. He is one of the co-developers of the MCP-Mod methodology for dose finding and main author of the DoseFinding R package. He has published numerous papers on dose finding, nonlinear models and Bayesian statistics, and in 2013 won the Royal Statistical Society award for statistical excellence in the pharmaceutical industry.

Author : Wim J. van der Linden
Publisher : CRC Press
Page : 1584 pages
File Size : 43,7 Mb
Release : 2018-02-19
Category : Mathematics
ISBN : 9781351645454

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Handbook of Item Response Theory by Wim J. van der Linden Pdf

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton’s classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.

Author : Anthony C. Atkinson,Luc Pronzato,Henry P. Wynn
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 51,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642589881

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MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design by Anthony C. Atkinson,Luc Pronzato,Henry P. Wynn Pdf

This volume contains the majority of the papers presented at the 5th Inter national Workshop on Model-Oriented Data Analysis held in June 1998. This series started in March 1987 with a meeting on the Wartburg, Eisenach (Germany). The next three meetings were in 1990 (St Kyrik monastery, Bulgaria), 1992 (Petrodvorets, StPetersburg, Russia) and 1995 (Spetses, Greece). The main purpose of these workshops was to bring together lead ing scientists from 'Eastern' and 'Western' Europe for the exchange of ideas in theoretical and applied statistics, with special emphasis on experimen tal design. Now that the separation between East and West has become less rigid, this dialogue has, in principle, become much easier. However, providing opportunities for this dialogue is as vital as ever. MODA meetings are known for their friendly atmosphere, leading to fruitful discussions and collaboration, especially between young and senior scien tists. Indeed, many long term collaborations were initiated during these events. This intellectually stimulating atmosphere is achieved by limiting the number of participants to around eighty, by the choice of location so that participants can live as a community, and, of course, through the care ful selection of scientific direction made by the Programme Committee.

Author : Robert B. Gramacy
Publisher : CRC Press
Page : 560 pages
File Size : 53,7 Mb
Release : 2020-03-10
Category : Mathematics
ISBN : 9781000766202

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Surrogates by Robert B. Gramacy Pdf

Computer simulation experiments are essential to modern scientific discovery, whether that be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are meta-models of computer simulations, used to solve mathematical models that are too intricate to be worked by hand. Gaussian process (GP) regression is a supremely flexible tool for the analysis of computer simulation experiments. This book presents an applied introduction to GP regression for modelling and optimization of computer simulation experiments. Features: • Emphasis on methods, applications, and reproducibility. • R code is integrated throughout for application of the methods. • Includes more than 200 full colour figures. • Includes many exercises to supplement understanding, with separate solutions available from the author. • Supported by a website with full code available to reproduce all methods and examples. The book is primarily designed as a textbook for postgraduate students studying GP regression from mathematics, statistics, computer science, and engineering. Given the breadth of examples, it could also be used by researchers from these fields, as well as from economics, life science, social science, etc.

Author : Francesca Greselin,Laura Deldossi,Luca Bagnato,Maurizio Vichi
Publisher : Springer Nature
Page : 201 pages
File Size : 41,7 Mb
Release : 2019-09-06
Category : Mathematics
ISBN : 9783030211400

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Statistical Learning of Complex Data by Francesca Greselin,Laura Deldossi,Luca Bagnato,Maurizio Vichi Pdf

This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13–15, 2017.