Moda 6 Advances In Model Oriented Design And Analysis

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MODA 6 - Advances in Model-Oriented Design and Analysis

Author : Anthony C. Atkinson
Publisher : Springer Science & Business Media
ISBN 13 : 3642575765
Total Pages : 288 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis MODA 6 - Advances in Model-Oriented Design and Analysis by : Anthony C. Atkinson

Download or read book MODA 6 - Advances in Model-Oriented Design and Analysis written by Anthony C. Atkinson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

mODa 8 - Advances in Model-Oriented Design and Analysis

Author : Jesus Lopez-Fidalgo
Publisher : Springer Science & Business Media
ISBN 13 : 3790819522
Total Pages : 241 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis mODa 8 - Advances in Model-Oriented Design and Analysis by : Jesus Lopez-Fidalgo

Download or read book mODa 8 - Advances in Model-Oriented Design and Analysis written by Jesus Lopez-Fidalgo and published by Springer Science & Business Media. This book was released on 2007-05-14 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

MODA 7 - Advances in Model-Oriented Design and Analysis

Author : Alessandro Di Bucchianico
Publisher : Springer Science & Business Media
ISBN 13 : 3790826936
Total Pages : 239 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis MODA 7 - Advances in Model-Oriented Design and Analysis by : Alessandro Di Bucchianico

Download or read book MODA 7 - Advances in Model-Oriented Design and Analysis written by Alessandro Di Bucchianico and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

mODa 11 - Advances in Model-Oriented Design and Analysis

Author : Joachim Kunert
Publisher : Springer
ISBN 13 : 3319312669
Total Pages : 256 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis mODa 11 - Advances in Model-Oriented Design and Analysis by : Joachim Kunert

Download or read book mODa 11 - Advances in Model-Oriented Design and Analysis written by Joachim Kunert and published by Springer. This book was released on 2016-06-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

mODa 9 – Advances in Model-Oriented Design and Analysis

Author : Alessandra Giovagnoli
Publisher : Springer Science & Business Media
ISBN 13 : 3790824100
Total Pages : 259 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis mODa 9 – Advances in Model-Oriented Design and Analysis by : Alessandra Giovagnoli

Download or read book mODa 9 – Advances in Model-Oriented Design and Analysis written by Alessandra Giovagnoli and published by Springer Science & Business Media. This book was released on 2010-06-10 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

mODa 10 – Advances in Model-Oriented Design and Analysis

Author : Dariusz Ucinski
Publisher : Springer Science & Business Media
ISBN 13 : 331900218X
Total Pages : 254 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis mODa 10 – Advances in Model-Oriented Design and Analysis by : Dariusz Ucinski

Download or read book mODa 10 – Advances in Model-Oriented Design and Analysis written by Dariusz Ucinski and published by Springer Science & Business Media. This book was released on 2013-03-21 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Art of Semiparametrics

Author : Stefan Sperlich
Publisher : Springer Science & Business Media
ISBN 13 : 3790817015
Total Pages : 185 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis The Art of Semiparametrics by : Stefan Sperlich

Download or read book The Art of Semiparametrics written by Stefan Sperlich and published by Springer Science & Business Media. This book was released on 2006-07-25 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This selection of articles emerged from different works presented "The Art of Semiparametrics" conference in 2003 in Berlin. It offers a collection of individual works that together show the large spectrum of semiparametric statistics. The book combines theoretical contributions with more applied and empirical studies. Although each article represents an original contribution to its own field, all are written in a self-contained way that may be read by non-experts.

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials

Author : John O'Quigley
Publisher : CRC Press
ISBN 13 : 1351648020
Total Pages : 390 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials by : John O'Quigley

Download or read book Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials written by John O'Quigley and published by CRC Press. This book was released on 2017-04-27 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Functional Approach to Optimal Experimental Design

Author : Viatcheslav B. Melas
Publisher : Springer Science & Business Media
ISBN 13 : 0387316108
Total Pages : 337 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Functional Approach to Optimal Experimental Design by : Viatcheslav B. Melas

Download or read book Functional Approach to Optimal Experimental Design written by Viatcheslav B. Melas and published by Springer Science & Business Media. This book was released on 2006-04-20 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book is devoted to studying optimal experimental designs for a wide class of linear and nonlinear regression models. This class includes polynomial, trigonometrical, rational, and exponential models as well as many particular models used in ecology and microbiology. As the criteria of optimality, the well known D-, E-, and c-criteria are implemented. The main idea of the book is to study the dependence of optimal - signs on values of unknown parameters and on the bounds of the design interval. Such a study can be performed on the base of the Implicit Fu- tion Theorem, the classical result of functional analysis. The idea was ?rst introduced in the author’s paper (Melas, 1978) for nonlinear in parameters exponential models. Recently, it was developed for other models in a n- ber of works (Melas (1995, 2000, 2001, 2004, 2005), Dette, Melas (2002, 2003), Dette, Melas, Pepelyshev (2002, 2003, 2004b), and Dette, Melas, Biederman (2002)). Thepurposeofthepresentbookistobringtogethertheresultsobtained and to develop further underlying concepts and tools. The approach, m- tioned above, will be called the functional approach. Its brief description can be found in the Introduction. The book contains eight chapters. The ?rst chapter introduces basic concepts and results of optimal design theory, initiated mainly by J.Kiefer.

Response Surface Methodology and Related Topics

Author : Andr I. Khuri
Publisher : World Scientific
ISBN 13 : 9812564586
Total Pages : 472 pages
Book Rating : 4.8/5 (125 download)

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Book Synopsis Response Surface Methodology and Related Topics by : Andr I. Khuri

Download or read book Response Surface Methodology and Related Topics written by Andr I. Khuri and published by World Scientific. This book was released on 2006 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first edited volume on response surface methodology (RSM). It contains 17 chapters written by leading experts in the field and covers a wide variety of topics ranging from areas in classical RSM to more recent modeling approaches within the framework of RSM, including the use of generalized linear models. Topics covering particular aspects of robust parameter design, response surface optimization, mixture experiments, and a variety of new graphical approaches in RSM are also included. The main purpose of this volume is to provide an overview of the key ideas that have shaped RSM, and to bring attention to recent research directions and developments in RSM, which can have many useful applications in a variety of fields. The volume will be very helpful to researchers as well as practitioners interested in RSM's theory and potential applications. It will be particularly useful to individuals who have used RSM methods in the past, but have not kept up with its recent developments, both in theory and applications.

Optimum Experimental Designs, With SAS

Author : Anthony Atkinson
Publisher : OUP Oxford
ISBN 13 : 0191537942
Total Pages : 528 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Optimum Experimental Designs, With SAS by : Anthony Atkinson

Download or read book Optimum Experimental Designs, With SAS written by Anthony Atkinson and published by OUP Oxford. This book was released on 2007-05-24 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiments on patients, processes or plants all have random error, making statistical methods essential for their efficient design and analysis. This book presents the theory and methods of optimum experimental design, making them available through the use of SAS programs. Little previous statistical knowledge is assumed. The first part of the book stresses the importance of models in the analysis of data and introduces least squares fitting and simple optimum experimental designs. The second part presents a more detailed discussion of the general theory and of a wide variety of experiments. The book stresses the use of SAS to provide hands-on solutions for the construction of designs in both standard and non-standard situations. The mathematical theory of the designs is developed in parallel with their construction in SAS, so providing motivation for the development of the subject. Many chapters cover self-contained topics drawn from science, engineering and pharmaceutical investigations, such as response surface designs, blocking of experiments, designs for mixture experiments and for nonlinear and generalized linear models. Understanding is aided by the provision of "SAS tasks" after most chapters as well as by more traditional exercises and a fully supported website. The authors are leading experts in key fields and this book is ideal for statisticians and scientists in academia, research and the process and pharmaceutical industries.

Foundations of Statistical Inference

Author : Yoel Haitovsky
Publisher : Springer Science & Business Media
ISBN 13 : 3642574106
Total Pages : 227 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Foundations of Statistical Inference by : Yoel Haitovsky

Download or read book Foundations of Statistical Inference written by Yoel Haitovsky and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of papers presented at a conference held in Shoresh Holiday Resort near Jerusalem, Israel, in December 2000 organized by the Israeli Ministry of Science, Culture and Sport. The theme of the conference was "Foundation of Statistical Inference: Applications in the Medical and Social Sciences and in Industry and the Interface of Computer Sciences". The following is a quotation from the Program and Abstract booklet of the conference. "Over the past several decades, the field of statistics has seen tremendous growth and development in theory and methodology. At the same time, the advent of computers has facilitated the use of modern statistics in all branches of science, making statistics even more interdisciplinary than in the past; statistics, thus, has become strongly rooted in all empirical research in the medical, social, and engineering sciences. The abundance of computer programs and the variety of methods available to users brought to light the critical issues of choosing models and, given a data set, the methods most suitable for its analysis. Mathematical statisticians have devoted a great deal of effort to studying the appropriateness of models for various types of data, and defining the conditions under which a particular method work. " In 1985 an international conference with a similar title* was held in Is rael. It provided a platform for a formal debate between the two main schools of thought in Statistics, the Bayesian, and the Frequentists.

Household Behaviour, Equivalence Scales, Welfare and Poverty

Author : Camilo Dagum
Publisher : Springer Science & Business Media
ISBN 13 : 3790826812
Total Pages : 307 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Household Behaviour, Equivalence Scales, Welfare and Poverty by : Camilo Dagum

Download or read book Household Behaviour, Equivalence Scales, Welfare and Poverty written by Camilo Dagum and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: A group of scholars converging on a common and socially relevant economic theme of research, that of households' welfare and poverty, met several times in the last two years to discuss the research progress and the opportunity to bring to gether for publication the research so far accomplished. They shared a research project supported by a grant from the former Italian Ministero dell'Universita e della Ricerca Scientifica e Tecnologica (MURST) now Ministero dell'Istruzione, dell'Universita e della Ricerca (MIUR): The Equiva lence Scales in the Measurement of Households' Welfare: Statistical, Economic and Demographic Analysis. The decisive meeting, an international seminar on the topics, was hosted by the University of Florence, siege of the national coordinator of this project. When one think of Florence, it is inevitable to think of the unfolding of Ren aissance, and reciprocally. th To the eyes of a traveller who had arrived to Florence in the 15 century, the city would have appeared as a sort of El Dorado, similarly to what would have occurred to the first conquerors of the South America's lands, so much astonishing were the richness of arts and the opulence of life. The flourishing of painting and sculpture had not equal all over the world and was reaching tops never made equal before. Masaccio, Brunelleschi, Donatello and later on Leonardo and Michelangelo, were the artistic and intellectual genius that enlightened beauty lovers princes.....

Modern Experimental Design

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
ISBN 13 : 0471210773
Total Pages : 624 pages
Book Rating : 4.4/5 (712 download)

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Book Synopsis Modern Experimental Design by : Thomas P. Ryan

Download or read book Modern Experimental Design written by Thomas P. Ryan and published by John Wiley & Sons. This book was released on 2007-02-02 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.

Maximum-Entropy Sampling

Author : Marcia Fampa
Publisher : Springer Nature
ISBN 13 : 3031130782
Total Pages : 206 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Maximum-Entropy Sampling by : Marcia Fampa

Download or read book Maximum-Entropy Sampling written by Marcia Fampa and published by Springer Nature. This book was released on 2022-11-30 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science. The text situates MESP in information theory, as the algorithmic problem of calculating a sub-vector of pre-specificed size from a multivariate Gaussian random vector, so as to maximize Shannon's differential entropy. The text collects and expands on state-of-the-art algorithms for MESP, and addresses its application in the field of environmental monitoring. While MESP is a central optimization problem in the theory of statistical designs (particularly in the area of spatial monitoring), this book largely focuses on the unique challenges of its algorithmic side. From the perspective of mathematical-optimization methodology, MESP is rather unique (a 0/1 nonlinear program having a nonseparable objective function), and the algorithmic techniques employed are highly non-standard. In particular, successful techniques come from several disparate areas within the field of mathematical optimization; for example: convex optimization and duality, semidefinite programming, Lagrangian relaxation, dynamic programming, approximation algorithms, 0/1 optimization (e.g., branch-and-bound), extended formulation, and many aspects of matrix theory. The book is mainly aimed at graduate students and researchers in mathematical optimization and data analytics.

Design of Experiments in Nonlinear Models

Author : Luc Pronzato
Publisher : Springer Science & Business Media
ISBN 13 : 1461463637
Total Pages : 404 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Design of Experiments in Nonlinear Models by : Luc Pronzato

Download or read book Design of Experiments in Nonlinear Models written by Luc Pronzato and published by Springer Science & Business Media. This book was released on 2013-04-10 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensive coverage of the various aspects of experimental design for nonlinear models. The book contains original contributions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools to help them designing their experiments. The first three chapters expose the connections between the asymptotic properties of estimators in parametric models and experimental design, with more emphasis than usual on some particular aspects like the estimation of a nonlinear function of the model parameters, models with heteroscedastic errors, etc. Classical optimality criteria based on those asymptotic properties are then presented thoroughly in a special chapter. Three chapters are dedicated to specific issues raised by nonlinear models. The construction of design criteria derived from non-asymptotic considerations (small-sample situation) is detailed. The connection between design and identifiability/estimability issues is investigated. Several approaches are presented to face the problem caused by the dependence of an optimal design on the value of the parameters to be estimated. A survey of algorithmic methods for the construction of optimal designs is provided.

Discrete Geometry and Optimization

Author : Károly Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 3319002007
Total Pages : 341 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Discrete Geometry and Optimization by : Károly Bezdek

Download or read book Discrete Geometry and Optimization written by Károly Bezdek and published by Springer Science & Business Media. This book was released on 2013-07-09 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization has long been a source of both inspiration and applications for geometers, and conversely, discrete and convex geometry have provided the foundations for many optimization techniques, leading to a rich interplay between these subjects. The purpose of the Workshop on Discrete Geometry, the Conference on Discrete Geometry and Optimization, and the Workshop on Optimization, held in September 2011 at the Fields Institute, Toronto, was to further stimulate the interaction between geometers and optimizers. This volume reflects the interplay between these areas. The inspiring Fejes Tóth Lecture Series, delivered by Thomas Hales of the University of Pittsburgh, exemplified this approach. While these fields have recently witnessed a lot of activity and successes, many questions remain open. For example, Fields medalist Stephen Smale stated that the question of the existence of a strongly polynomial time algorithm for linear optimization is one of the most important unsolved problems at the beginning of the 21st century. The broad range of topics covered in this volume demonstrates the many recent and fruitful connections between different approaches, and features novel results and state-of-the-art surveys as well as open problems.