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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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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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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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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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The power of experiments : how big is your n?
Asanov, Igor A.; Bühren, Christoph; Zacharodimou, Panagiota - 2020
The replicability and credibility crisis in psychology and economics sparked the debate on underpowered experiments, publication biases, and p-hacking. Analyzing the number of independent observations of experiments published in Experimental Economics, Games and Economic Behavior, and the...
Persistent link: https://www.econbiz.de/10012542673
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Chapter 6. Statistical Methods for Distributional Analysis
Cowell, Frank A.; Flachaire, Emmanuel - In: Handbook of income distribution : volume 2, (pp. 359-465). 2015
This chapter discusses the formal and informal techniques that are commonly used to give quantitative answers in the field of distributional analysis. To this end, it covers subjects including inequality, poverty, and the modeling of income distributions. It also deals with parametric and...
Persistent link: https://www.econbiz.de/10014025345