Автор: Gates, Kathleen, Название: Intensive longitudinal analysis of human processes / ISBN: 1482230593 ISBN-13(EAN): 9781482230598 Издательство: Taylor&Francis Рейтинг: Цена: 14545.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. The primary audience are students and researchers in psychometrics, quantitative psychology, psychophysiology and neurocognition. This book can be used for both teaching and research.
Автор: Bittelli, Marco (Professor, Professor, Department Название: Random Process Analysis With R ISBN: 0198862512 ISBN-13(EAN): 9780198862512 Издательство: Oxford Academ Рейтинг: Цена: 14098.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research.
Автор: Bittelli, Marco (professor, Professor, Department Of Agricultural And Food Sciences, University Of Bologna, Italy) Olmi, Roberto (senior Researcher, S Название: Random process analysis with r paperback ISBN: 0198862520 ISBN-13(EAN): 9780198862529 Издательство: Oxford Academ Рейтинг: Цена: 5940.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research.
Автор: Victor A. Skormin Название: Introduction to Process Control ISBN: 331942257X ISBN-13(EAN): 9783319422572 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.
Автор: Chow, Shein-Chung Название: Statistical Design and Analysis in Pharmaceutical Science ISBN: 0824793366 ISBN-13(EAN): 9780824793364 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Поставка под заказ.
Автор: Shi, Jian Qing Название: Gaussian Process Regression Analysis for Functional Data ISBN: 1439837732 ISBN-13(EAN): 9781439837733 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Michael C. Whitlock, Dolph Schluter Название: The Analysis of Biological Data ISBN: 1319325343 ISBN-13(EAN): 9781319325343 Издательство: Macmillan Learning Рейтинг: Цена: 13858.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Описание: Chapter five contains examples of using ecological Life Cycle Assessment (LCA) - a relatively new method of environmental impact assessment - which help in preparing pro-ecological strategy, and which can lead to reducing the amount of wastes produced in the ArcelorMittal Steel Plant production processes.
Описание: A coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering covers all of the concepts required for the American Fundamentals of Engineering Examination. Statistics for Chemical and Process Engineers (second edition) shows the reader how to develop and test models, design experiments and analyze data in ways easily applicable through readily available software tools like MS Excel® and MATLAB® and is updated for the most recent versions of both. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text, and it now contains an introduction to the use of state-space methods. The reader is given a detailed framework for statistical procedures covering: * data visualization; * probability; * linear and nonlinear regression; * experimental design (including factorial and fractional factorial designs); and * dynamic process identification. Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB are also available for download. With its integrative approach to system identification, regression, and statistical theory, this book provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries, and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.
Автор: Kotz, Samuel Название: Process Capability Indices ISBN: 041254380X ISBN-13(EAN): 9780412543807 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Поставка под заказ.
Автор: Chakraborty, Ashis Kumar , Chatterjee, Moutushi Название: Handbook of Multivariate Process Capability Indices ISBN: 0367029979 ISBN-13(EAN): 9780367029975 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a thorough literature review on Multivariate Process Capability Indices. It discusses the various aspects and methodologies associated with the subject in one place. Several real-life data sets have also been used to show the applications of different methodologies.
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