Viac ako 4 milióny titulov v angličtine aj ďalších jazykoch! Objavte svoj nový príbeh ešte dnes!

mODa 10 - Advances in Model-Oriented Design and Analysis

Name: mODa 10 - Advances in Model-Oriented Design and Analysis
Brand: Springer International Publishing AG
SKU: 9783319002170
Price: 146.49 EUR
Availability: InStock

Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Lagow Lubuski, Poland, June 10-14, 2013

Autor: Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

146.49 €

This book collects the proceedings of the 10th Workshop on Model-Oriented Design and Analysis (mODa)...

Informácie o knihe

Autor

Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2013

Stránok

249

EAN

9783319002170

ISBN

3319002171

Enbook ID

01468831

Vydavateľ

Springer International Publishing AG

Hmotnosť

416

Rozmery

155 x 235 x 15

Kompletný popis

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.