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How much randomness is needed for statistics?
2014
Annals of Pure and Applied Logic
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While the Hippocratic approach is in general much more restrictive, there are cases where the two coincide. ...
In algorithmic randomness, when one wants to define a randomness notion with respect to some non-computable measure λ , a choice needs to be made. ...
Acknowledgements The authors would like to thank Samuel Buss for his invitation to University of California, San Diego. Without his help and the university's support this paper would never exist. ...
doi:10.1016/j.apal.2014.04.014
fatcat:os3jxjd6cndq7hcntfsqyhx3wi
How Much Randomness Is Needed for Statistics?
[chapter]
2012
Lecture Notes in Computer Science
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While the Hippocratic approach is in general much more restrictive, there are cases where the two coincide. ...
In algorithmic randomness, when one wants to define a randomness notion with respect to some non-computable measure λ, a choice needs to be made. ...
Acknowledgements The authors would like to thank Samuel Buss for his invitation to University of California, San Diego. Without his help and the university's support this paper would never exist. ...
doi:10.1007/978-3-642-30870-3_40
fatcat:i7ezgutmsnfnpn5m2coc7owmsq
Statistics
1945
Journal of the American Statistical Association
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Sampling for public opinion is mentioned on p. 330 without an explanation of how the data are usually collected; and the calculations that are made on the poll for Roosevelt and Willkie leave the unsuspecting ...
536 AMERICAN STATISTICAL ASSOCIATION
Statisticians need to remind their colleagues in economics and other sci- ences that in a professional job of sampling the band of sampling error is under control. ...
doi:10.2307/2280228
fatcat:rokqkbezyjehzprdhpkrshbfzi
Statistical errors
1977
BMJ (Clinical Research Edition)
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He may still need the help of a statistician later on in a piece of formal research, but if he has a grounding in the subject he will understand better when expert help is needed, how it should be sought ...
It could be coupled with much more thorough instruction than is commonly given on how to make and record exact observations, the process showing the variability as well as the value of successive results ...
doi:10.1136/bmj.1.6053.66
fatcat:mvfba55evrcjrlxd4qus3vvfry
STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION
2008
Statistics Education Research Journal
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SC, however, integrates the facets and provides a basis for EBP in statistical practice and education. First published November 2008 at Statistics Education Research Journal: Archives ...
We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application ...
Similarly, the discipline of statistics provides much content for the statistics curriculum, but it is the job of statistical cognition to provide guidance for teachers on how to best achieve accurate ...
doi:10.52041/serj.v7i2.468
fatcat:m22l5t5o4ra7fjwgnoijswfrvq
Statistical Frontiers
1957
Journal of the American Statistical Association
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is needed of how to decide whether the interaction in a two-way classification is nonrandom or random, (3) More exact methods of assigning confidence limits for the variance com- ponents need to be developed ...
We need to learn how to educate children to think scientifically, how to select those best fitted for scientific research and how to train them. We must go into the recruiting and training frontiers. ...
doi:10.1080/01621459.1957.10501361
fatcat:ew7xp2x72bbjpfocb3dhacgo7a
Misconceptions About Statistics and Statistical Evidence
[chapter]
2011
Handbook of Trial Consulting
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is of much greater interest to jurors. That is, jurors do not really want to know how likely a match would be if someone weren't the source of the blood stains. The more central question for ). ...
Trial consultants need to be aware of the documented problems that jurors and others have working with statistical evidence and arguments (for reviews, see Arkes, Connolly, & Hammond, 2000; Kahneman, ...
doi:10.1007/978-1-4419-7569-0_6
fatcat:fngn3efoaffl7as5e3zcbh4ywu
Statistical inference for statistical decisions
[article]
2019
arXiv
pre-print
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An SDF need not perform statistical inference; that is, it need not use data to draw conclusions about the true state of nature. ...
This paper motivates inference-based SDFs as practical procedures for decision making that may accomplish some of what Wald envisioned. ...
Wald's concept of a statistical decision function embraces all mappings of the form [data 6 decision]. In general, a SDF need not perform statistical inference. ...
arXiv:1909.06853v1
fatcat:bei6qj3g3zhglkgbeksni5kqx4
Statistics in medicine
1960
Annals of the Royal College of Surgeons of England
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If you wish to make any use of the mortality statistics for a particular disease over a period of time, you need to know how the Registrar-General defines that cause of death, what the convention is about ...
If we know this basic variability, then we can easily work out 56 STATISTICS IN MEDICINE how many observations are needed for a given degree of precision. ...
Statistics are perhaps all the better for being treated with a little healthy disrespect. ...
pmid:13794298
pmcid:PMC2413865
fatcat:mwmk63jvibhfraccs7se676b5a
Statistics for HCI
2022
CHI Conference on Human Factors in Computing Systems Extended Abstracts
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Figure 1: Sample materials: (left) the job of statistics; (right) interactive web experiments. Background: Crowd on Flickr by razorray15, https://www.flickr.com/photos/36714668@N02/4598065240 ...
Wild and wide It is hard to get an instinctive feel for random things. ...
Overview -key topics The course as arranged around three key topics: Understanding randomness -getting a gut feel for the behaviour of random phenomenon and in particular how easy it is to see structure ...
doi:10.1145/3491101.3503758
fatcat:p52toa45lzh3bjqlpkxyyqag4u
Statistical Blunders
1942
Radiology
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If the sampling is not random—and much medical sampling is not-—-the measures are not strictly accurate. For practical purposes they are nearly so, but may be materially in error at times. ...
Having analyzed your data, determine how dependable the results of the analysis are. This is essential. It involves de-
‘See, for example, Pearl, Raymond G.: Medical Biometry and Statistics, W. B. ...
doi:10.1148/39.6.734
fatcat:on4fhfjbjnemxcjoparr6yupfu
Mathematical Statistics
[chapter]
2013
Mathematical Statistics and Stochastic Processes
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Often a study include both fixed and random effects and the model fitted is then called a linear mixed model. ...
When an effect is included as random the measurements within the same effect can not be considered independent and the correlation between measurements has to be considered in some way. ...
random effects and how much the ordinary residual variation is within a category. ...
doi:10.1002/9781118562024.part1
fatcat:64ujgklhebfs5mzeo5z7jmntgm
UsingPerlfor Statistics: Data Processing and Statistical Computing
2004
Journal of Statistical Software
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In this paper we show how Perl, an expressive and extensible high-level programming language, with network and object-oriented programming support, can be used in processing data for statistics and statistical ...
In Part II we show how Perl can be extended to perform statistical computations using modules and by "embedding" specialized statistical applications. ...
Acknowledgements The author would like to thank Jan de Leeuw, Colin McClean, Jan Minx, and three anonymous referees for helpful comments and suggestions. ...
doi:10.18637/jss.v011.i01
fatcat:mmtypgzsbrafzmn5oyjqydtyba
Mathematical Statistics
[chapter]
2017
Theory of Probability
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Often a study include both fixed and random effects and the model fitted is then called a linear mixed model. ...
When an effect is included as random the measurements within the same effect can not be considered independent and the correlation between measurements has to be considered in some way. ...
random effects and how much the ordinary residual variation is within a category. ...
doi:10.1002/9781119286387.ch12
fatcat:h27qjbbbgvflrfo7l7twnocg3y
Mathematical statistics
2000
ChoiceReviews
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Often a study include both fixed and random effects and the model fitted is then called a linear mixed model. ...
When an effect is included as random the measurements within the same effect can not be considered independent and the correlation between measurements has to be considered in some way. ...
random effects and how much the ordinary residual variation is within a category. ...
doi:10.5860/choice.38-0342
fatcat:wax2yzyew5ddrcncq6x2sbfv5m
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