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Introducing Linear Regression : An Example Using Basketball Statistics
Arnold, Tom - 2011
context. This paper uses basketball statistics to demonstrate the purpose of linear regression and to explain how to interpret …
Persistent link: https://www.econbiz.de/10013131742
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Statistical vs. Economic Significance in Economics and Econometrics : Further Comments on Mccloskey & Ziliak
Engsted, Tom - 2011
I comment on the controversy between McCloskey & Ziliak and Hoover & Siegler on statistical versus economic significance, in the March 2008 issue of the Journal of Economic Methodology. I argue that while McCloskey & Ziliak are right in emphasizing 'real error', i.e. non-sampling error that...
Persistent link: https://www.econbiz.de/10013134726
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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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Statistica Afacerilor (Business Statistics)
Stefanescu, Razvan - 2013
Această carte abordează utilizarea unor procedee statistice în rezolvarea unor probleme din domeniul afacerilor. Vom prezenta câteva dintre tehnicile cantitative aplicate în analiza unor aspecte importante ale deciziilor specifice afacerilor: activitatea de producţie, vânzările,...
Persistent link: https://www.econbiz.de/10013072857
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Statistical Inference
Zuev, Konstantin - 2018
What is Statistics? Opinions vary. In fact, there is a continuous spectrum of attitudes toward statistics ranging from … reporting p-values and claiming statistical significance for scientifically insignificant results. In these notes statistics is …) introduce the most fundamental ideas, concepts, and methods of statistics, explain how and why they work, and when they don …
Persistent link: https://www.econbiz.de/10012927199
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Non-parametric statistic for testing cumulative abnormal stock returns
Pynnönen, Seppo - In: Journal of risk and financial management : JRFM 15 (2022) 4, pp. 1-13
Due to the non-normality of stock returns, nonparametric rank tests are gaining accceptance relative to parametric tests in financial economics event studies. In rank tests, financial assets’ multiple day cumulative abnormal returns (CARs) are replaced by cumulated ranks. This paper proposes...
Persistent link: https://www.econbiz.de/10013168738
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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