mODa 11 - Advances in Model-Oriented Design and Analysis

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Publisher : Springer
ISBN 13 : 3319312669
Total Pages : 254 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 254 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 10 – Advances in Model-Oriented Design and Analysis

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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.

mODa 9 – Advances in Model-Oriented Design and Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 3790824100
Total Pages : 239 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 239 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 6 - Advances in Model-Oriented Design and Analysis

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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 7 - Advances in Model-Oriented Design and Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 9783790802139
Total Pages : 66 pages
Book Rating : 4.8/5 (21 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 2004-05-18 with total page 66 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 8 - Advances in Model-Oriented Design and Analysis

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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 9 - Advances in Model-Oriented Design and Analysis

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Publisher :
ISBN 13 : 9781283003193
Total Pages : pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis MODa 9 - Advances in Model-Oriented Design and Analysis by :

Download or read book MODa 9 - Advances in Model-Oriented Design and Analysis written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

MODA 7 - Advances in Model-Oriented Design and Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 3790826936
Total Pages : 240 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 240 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 6, Advances in Model-oriented Design and Analysis

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Publisher :
ISBN 13 :
Total Pages : 282 pages
Book Rating : 4.:/5 (847 download)

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Book Synopsis MODa 6, Advances in Model-oriented Design and Analysis by :

Download or read book MODa 6, Advances in Model-oriented Design and Analysis written by and published by . This book was released on 2001 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:

MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design

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Publisher : Springer Science & Business Media
ISBN 13 : 364258988X
Total Pages : 297 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design by : Anthony C. Atkinson

Download or read book MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design written by Anthony C. Atkinson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Surveys in Combinatorics 2017

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Publisher : Cambridge University Press
ISBN 13 : 1108413137
Total Pages : 451 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Surveys in Combinatorics 2017 by : Anders Claesson

Download or read book Surveys in Combinatorics 2017 written by Anders Claesson and published by Cambridge University Press. This book was released on 2017-06-30 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes nine articles representing a timely snapshot of the state of the art in the different areas of combinatorics.

The Mathematics of the Uncertain

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Publisher : Springer
ISBN 13 : 3319738488
Total Pages : 917 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis The Mathematics of the Uncertain by : Eduardo Gil

Download or read book The Mathematics of the Uncertain written by Eduardo Gil and published by Springer. This book was released on 2018-02-28 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Statistical Methods for Randomized Controlled Trials

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Publisher : CRC Press
ISBN 13 : 1498714641
Total Pages : 655 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Handbook of Statistical Methods for Randomized Controlled Trials by : KyungMann Kim

Download or read book Handbook of Statistical Methods for Randomized Controlled Trials written by KyungMann Kim and published by CRC Press. This book was released on 2021-08-23 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning, monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing, subgroup analysis, competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials, analysis of safety outcomes, non-inferiority trials, incorporating historical data, and validation of surrogate outcomes.

Stochastic Processes, Statistical Methods, and Engineering Mathematics

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Publisher : Springer Nature
ISBN 13 : 3031178203
Total Pages : 907 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Stochastic Processes, Statistical Methods, and Engineering Mathematics by : Anatoliy Malyarenko

Download or read book Stochastic Processes, Statistical Methods, and Engineering Mathematics written by Anatoliy Malyarenko and published by Springer Nature. This book was released on 2023-01-26 with total page 907 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the 2019 conference on Stochastic Processes and Algebraic Structures held in SPAS2019, Västerås, Sweden, from September 30th to October 2nd 2019, was to showcase the frontiers of research in several important areas of mathematics, mathematical statistics, and its applications. The conference was organized around the following topics 1. Stochastic processes and modern statistical methods,2. Engineering mathematics,3. Algebraic structures and their applications. The conference brought together a select group of scientists, researchers, and practitioners from the industry who are actively contributing to the theory and applications of stochastic, and algebraic structures, methods, and models. The conference provided early stage researchers with the opportunity to learn from leaders in the field, to present their research, as well as to establish valuable research contacts in order to initiate collaborations in Sweden and abroad. New methods for pricing sophisticated financial derivatives, limit theorems for stochastic processes, advanced methods for statistical analysis of financial data, and modern computational methods in various areas of applied science can be found in this book. The principal reason for the growing interest in these questions comes from the fact that we are living in an extremely rapidly changing and challenging environment. This requires the quick introduction of new methods, coming from different areas of applied science. Advanced concepts in the book are illustrated in simple form with the help of tables and figures. Most of the papers are self-contained, and thus ideally suitable for self-study. Solutions to sophisticated problems located at the intersection of various theoretical and applied areas of the natural sciences are presented in these proceedings.

Optimal Experimental Design

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Publisher : Springer Nature
ISBN 13 : 3031359186
Total Pages : 228 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Optimal Experimental Design by : Jesús López-Fidalgo

Download or read book Optimal Experimental Design written by Jesús López-Fidalgo and published by Springer Nature. This book was released on 2023-10-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a concise introduction to optimal experimental design and efficiently prepares the reader for research in the area. It presents the common concepts and techniques for linear and nonlinear models as well as Bayesian optimal designs. The last two chapters are devoted to particular themes of interest, including recent developments and hot topics in optimal experimental design, and real-world applications. Numerous examples and exercises are included, some of them with solutions or hints, as well as references to the existing software for computing designs. The book is primarily intended for graduate students and young researchers in statistics and applied mathematics who are new to the field of optimal experimental design. Given the applications and the way concepts and results are introduced, parts of the text will also appeal to engineers and other applied researchers.

Complex Data Modeling and Computationally Intensive Statistical Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 8847013860
Total Pages : 170 pages
Book Rating : 4.8/5 (47 download)

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Book Synopsis Complex Data Modeling and Computationally Intensive Statistical Methods by : Pietro Mantovan

Download or read book Complex Data Modeling and Computationally Intensive Statistical Methods written by Pietro Mantovan and published by Springer Science & Business Media. This book was released on 2011-01-27 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selected from the conference "S.Co.2009: Complex Data Modeling and Computationally Intensive Methods for Estimation and Prediction," these 20 papers cover the latest in statistical methods and computational techniques for complex and high dimensional datasets.

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

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Publisher : CRC Press
ISBN 13 : 149874611X
Total Pages : 306 pages
Book Rating : 4.4/5 (987 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 306 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.