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A Powerful and Robust Nonparametric Statistic for Joint Mean-Variance Quality Control
Opdyke, J.D. - 2010
For statistical process control, a number of single charts that jointly monitor both process mean and variability recently have been developed. For quality control-related hypothesis testing, however, there has been little analogous development of joint mean-variance tests: only one two-sample...
Persistent link: https://www.econbiz.de/10013136795
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A Note on the Theory of Applied Statistics
Kenett, Ron S. - 2018
This note is a sketch of what could be the basis for a theory of applied statistics. Such a theory is needed to help … statistics become more relevant, with significant impact and innovative developments. To achieve this goal, statisticians need to … new data structures require new statistical models. Eliciting the components of a theory of applied statistics is a …
Persistent link: https://www.econbiz.de/10012938646
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Karl Popper's Superstitious Indeterminism : Is Statistics a Science?
Choi, Hak - 2016
This paper shows how a great philosopher, like Popper, can easily fall back to a common superstitious person. This paper also criticizes the general practice by statisticians to invent ad hoc method or manipulate data to suppress errors. Instead, this paper promotes the Xenophanes spirit of...
Persistent link: https://www.econbiz.de/10012984223
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Statistical Inference in Economics, 1920-1965 : Changes in Meaning and Practice
Biddle, Jeff - 2016
This paper reviews changes over time in the meaning that economists in the US attributed to the phrase “statistical inference”, as well as changes in how inference was conducted. Prior to WWII, leading statistical economists rejected probability theory as a source of measures and procedures...
Persistent link: https://www.econbiz.de/10012987278
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Statistics and common sense
Hanaki, Nobuyuki; Magnus, Jan R.; Yoo, Donghoon - 2021
Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and try to understand why...
Persistent link: https://www.econbiz.de/10012670776
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Using large samples in econometrics
MacKinnon, James G. - 2021
As I document using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues....
Persistent link: https://www.econbiz.de/10012815681
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Statistics and common sense
Hanaki, Nobuyuki; Magnus, Jan R.; Yoo, Donghoon - 2021
Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and try to understand why...
Persistent link: https://www.econbiz.de/10012795343
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A General Test for Non-Nested Hypotheses
Sawyer, Kim R. - 2008
A simple technique is proposed for increasing the asymptotic efficiency of tests of non-nested hypotheses. The principle is to consider the asymptotic regression of one hypothesis test on another. Under certain conditions this produces a test with a smaller variance under the null hypothesis and...
Persistent link: https://www.econbiz.de/10014219538
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Extracting Information from Mega-Panels and High-Frequency Data
Granger, Clive W. J. - 1998
Very large data sets in economics are already available and will soon become commonplace. The econometric techniques currently in use may not be relevant and new techniques will have to be devised. It can be argued that most tests of significance, linear models, assumptions of normality, and...
Persistent link: https://www.econbiz.de/10014222217
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On Theil's Errors
Magnus, J.R; Sinha, Ashoke - 2004
We take a fresh look at Theil's BLUS residuals and ask why they have gone out of fashion. All our simulation experiments indicate that tests based on BLUS residuals have higher power than those based on the more popular recursive residuals, even in those cases (structural breaks) where intuition...
Persistent link: https://www.econbiz.de/10014071558