Stem academic press (19 résultats)

Hardback. Etat : Good. The book investigates the misapplication of conventional statistical techniques to fat tailed distributions and looks for remedies, when possible. Switching from thin tailed to fat tailed distributions requires more than changing the color of the dress. Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the laws of the medium numbers-which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence. A few examples: - The sample mean is rarely in line with the population mean, with effect on na ve empiricism, but can be sometimes be estimated via parametric methods. - The empirical distribution is rarely empirical. - Parameter uncertainty has compounding effects on statistical metrics. - Dimension reduction (principal components) fails. - Inequality estimators (Gini or quantile contributions) are not additive and produce wrong results. - Many biases found in psychology become entirely rational under more sophisticated probability distributions. - Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions. This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.…

Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardback. Etat : Good. The book investigates the misapplication of conventional statistical techniques to fat tailed distributions and looks for remedies, when possible. Switching from thin tailed to fat tailed distributions requires more than changing the color of the dress. Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the laws of the medium numbers-which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence. A few examples: - The sample mean is rarely in line with the population mean, with effect on na ve empiricism, but can be sometimes be estimated via parametric methods. - The empirical distribution is rarely empirical. - Parameter uncertainty has compounding effects on statistical metrics. - Dimension reduction (principal components) fails. - Inequality estimators (Gini or quantile contributions) are not additive and produce wrong results. - Many biases found in psychology become entirely rational under more sophisticated probability distributions. - Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions. This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.…

Etat : Good. Good condition. Revised edition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Etat : Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Etat : Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Etat : Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New. In English.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Good. This monograph investigates the misapplication of conventional statistical techniques to fat tailed distributions and looks for remedies, when possible.Switching from thin tailed to fat tailed distributions requires more than changing the colour of the dress. Traditional asymptotics deal mainly with either n=1 or n=?, and the real world is in between, under of the laws of the medium numbers - which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence.A few examples:* The sample mean is rarely in line with the population mean, with effect on naive empiricism, but can be sometimes be estimated via parametric methods.* The empirical distribution is rarely empirical.* Parameter uncertainty has compounding effects on statistical metrics.* Dimension reduction (principal components) fails.* Inequality estimators (GINI or quantile contributions) are not additive and produce wrong results.* Many biases found in psychology become entirely rational under more sophisticated probability distributions* Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions.This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.Hardcover. The book is a little bumped at extremities, but the contents are very good. xiv, 441 pages, including index. Size 23.5 x 15.8 x 2.7 cm. Copyright © STEM Academic Press.…

Taschenbuch. Etat : Neu. Neuware - This STEM Volume gathers a selection of research papers on COVID-19 using a complex systems approach. Methods include agent-based models, cellular automata, networks, population dynamics, spatial-temporal patterns, risk management, analysis of fat-tails, data analysis and visualization. A few examples are: (i) Discussions about policies and strategies against outbreaks in the context of uncertainty and incomplete information. (ii) Analysis and proper understanding of probability and its role in decision-making against contagion outbreaks. (iii) Different approaches to model the spread of a virus in a population using simulations. (iv) Applications with observational data to include natural patterns of human behavior into modeling and decision-making frameworks.…

Hardcover. Etat : Good. Good .Ships From Multiple Locations. book.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.