Description
Discover the groundbreaking insights in "Willful Ignorance: The Mismeasure of Uncertainty," a must-read for anyone involved in probability and statistics. This compelling book, published in 2014 by John Wiley & Sons, delves into the complexities of willful ignorance and how it significantly impacts modern statistical methods and scientific research. Through an engaging narrative filled with stories of visionary thinkers, the author skillfully traces the historical evolution of probability, illustrating how simplified statistical methods, though successful, can lead to dangerous misconceptions and scientific reversals.
As the fields of medicine, social sciences, and beyond evolve, understanding the limitations of current statistical approaches is crucial. This essential read outlines the pressing need for a revolution in data analysis that bridges the gap between qualitative and quantitative research. It serves as a clarion call for researchers, practitioners, and anyone interested in the integrity of scientific inquiry.
With 452 pages of original content and insights, this book exposes the fallacy of equating probability with complete uncertainty and emphasizes the importance of nuanced understanding in statistical practices. Perfect for professionals in statistics or related disciplines, "Willful Ignorance" offers valuable perspectives to improve scientific discovery processes.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780470890448
Year: 2014
Publisher: John Wiley & Sons Inc (US)
Pages: 452
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780470890448
Year: 2014
Publisher: John Wiley & Sons Inc (US)
Pages: 452
Description:
An original account of willful ignorance and how this
principle relates to modern probability and statistical
methods
Through a series of colorful stories about great thinkers and
the problems they chose to solve, the author traces the historical
evolution of probability and explains how statistical methods have
helped to propel scientific research. However, the past success of
statistics has depended on vast, deliberate simplifications
amounting to willful ignorance, and this very success now threatens
future advances in medicine, the social sciences, and other fields.
Limitations of existing methods result in frequent reversals of
scientific findings and recommendations, to the consternation of
both scientists and the lay public.
Willful Ignorance: The Mismeasure of Uncertainty
exposes the fallacy of regarding probability as the full measure of
our uncertainty. The book explains how statistical methodology,
though enormously productive and influential over the past century,
is approaching a crisis. The deep and troubling divide between
qualitative and quantitative modes of research, and between
research and practice, are reflections of this underlying problem.
The author outlines a path toward the re-engineering of data
analysis to help close these gaps and accelerate scientific
discovery
Willful Ignorance: The Mismeasure of Uncertainty presents
essential information and novel ideas that should be of interest to
anyone concerned about the future of scientific research. The book
is especially pertinent for professionals in statistics and related
fields, including practicing a
As the fields of medicine, social sciences, and beyond evolve, understanding the limitations of current statistical approaches is crucial. This essential read outlines the pressing need for a revolution in data analysis that bridges the gap between qualitative and quantitative research. It serves as a clarion call for researchers, practitioners, and anyone interested in the integrity of scientific inquiry.
With 452 pages of original content and insights, this book exposes the fallacy of equating probability with complete uncertainty and emphasizes the importance of nuanced understanding in statistical practices. Perfect for professionals in statistics or related disciplines, "Willful Ignorance" offers valuable perspectives to improve scientific discovery processes.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780470890448
Year: 2014
Publisher: John Wiley & Sons Inc (US)
Pages: 452
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9780470890448
Year: 2014
Publisher: John Wiley & Sons Inc (US)
Pages: 452
Description:
An original account of willful ignorance and how this
principle relates to modern probability and statistical
methods
Through a series of colorful stories about great thinkers and
the problems they chose to solve, the author traces the historical
evolution of probability and explains how statistical methods have
helped to propel scientific research. However, the past success of
statistics has depended on vast, deliberate simplifications
amounting to willful ignorance, and this very success now threatens
future advances in medicine, the social sciences, and other fields.
Limitations of existing methods result in frequent reversals of
scientific findings and recommendations, to the consternation of
both scientists and the lay public.
Willful Ignorance: The Mismeasure of Uncertainty
exposes the fallacy of regarding probability as the full measure of
our uncertainty. The book explains how statistical methodology,
though enormously productive and influential over the past century,
is approaching a crisis. The deep and troubling divide between
qualitative and quantitative modes of research, and between
research and practice, are reflections of this underlying problem.
The author outlines a path toward the re-engineering of data
analysis to help close these gaps and accelerate scientific
discovery
Willful Ignorance: The Mismeasure of Uncertainty presents
essential information and novel ideas that should be of interest to
anyone concerned about the future of scientific research. The book
is especially pertinent for professionals in statistics and related
fields, including practicing a