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Global Sensitivity Analysis - Francesca Campolongo - Bog - John Wiley & Sons Inc - Plusbog.dk

Global Sensitivity Analysis - Francesca Campolongo - Bog - John Wiley & Sons Inc - Plusbog.dk

Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications. The book: - - Provides a self-contained treatment of the subject, allowing readers to learn and practice global sensitivity analysis without further materials. - - - Presents ways to frame the analysis, interpret its results, and avoid potential pitfalls. - - - Features numerous exercises and solved problems to help illustrate the applications. - - - Is authored by leading sensitivity analysis practitioners, combining a range of disciplinary backgrounds. - Postgraduate students and practitioners in a wide range of subjects, including statistics, mathematics, engineering, physics, chemistry, environmental sciences, biology, toxicology, actuarial sciences, and econometrics will find much of use here. This book will prove equally valuable to engineers working on risk analysis and to financial analysts concerned with pricing and hedging.

DKK 776.00
3

Sensitivity Analysis in Practice - Francesca Campolongo - Bog - John Wiley & Sons Inc - Plusbog.dk

Wiley CIA Exam Review 2021 + Test Bank + Focus Notes: Part 3, Business Knowledge for Internal Auditing Set - S. Rao Vallabhaneni - Bog - John Wiley &

Wiley CIA Exam Review 2020 + Test Bank + Focus Notes: Part 1, Essentials of Internal Auditing Set - Wiley - Bog - John Wiley & Sons Inc - Plusbog.dk

Wiley CIA Exam Review 2020 + Test Bank + Focus Notes: Part 2, Practice of Internal Auditing Set - Wiley - Bog - John Wiley & Sons Inc - Plusbog.dk

Wiley CIA Exam Review 2021 + Test Bank + Focus Notes: Part 1, Essentials of Internal Auditing Set - S. Rao Vallabhaneni - Bog - John Wiley & Sons Inc

Wiley CIA Exam Review 2021 + Test Bank + Focus Notes: Part 2, Practice of Internal Auditing Set - S. Rao Vallabhaneni - Bog - John Wiley & Sons Inc -

Wiley CIA Exam Review 2019, Part 3: Business Knowledge for Internal Auditing: Test Bank + Focus Notes + Text Set - S. Rao Vallabhaneni - Bog - John

Psychometrics, Test Theory, and the Latent Factors Model - Petr Blahus - Bog - John Wiley & Sons Inc - Plusbog.dk

Psychometrics, Test Theory, and the Latent Factors Model - Petr Blahus - Bog - John Wiley & Sons Inc - Plusbog.dk

A combination of psychometric theory, history, philosophy and practice, with recent advances in analytical methods, metrology, and design. Psychometrics, Test Theory, and the Latent Factors Models began as a strong manuscript by Petr Blahuš. Before his death he entrusted it to three co-authors who completed the book with in-chapter explanations. accessible mathematical appendices and computational guides. It was also expanded to include important advances since 2010 in psychometric methods, metrology, and the science of domain-specific design. Comprehensive in scope, the text contains computatational guides for the use of Stata, M-plus, and SPSS in Classical Test Theory, Item-Response Theory, and Factor Analysis. The authors highlight the practicality of software integration in order to successfully produce psychometrically sound research. Written by an international and decades-spanning team of experienced psychometricians, the text sets the goal of a future psychometrics that could earn its place in international metrology. The book is filled with suggestions, tips, and practical guidance about best practices and efficient strategies for modeling and model selection. In addition, the book includes important cautions and warnings about misuse and misinterpretations of common, but limited, analytical techniques. The book is historically informed, philosophically grounded, mathematically justified, and methodologically current. This important text: Applies intuitive reasoning and common examples to aid in the understanding of advanced technical concepts. Includes the conceptual, statistical, and philosophical background of psychometrics. Features recent advances advances and opposing views in psychometric theory. Contains concrete examples from current research, including cognitive tests and MRI data. Opens he vista for a future of testing with greatly increased use of well-constructed, learner-centered performance scales using computer-adaptive testing with feedback over multiple attempts. Psychometrics, Test Theory, and the Latent Factors Model is intended for forward-looking students and teachers in the behavioral, educational, health, and social sciences.

DKK 1076.00
1