Results 51 to 60 of about 3,795,989 (244)
Monte Carlo Comparison of Approximate Tolerance Intervals for the Poisson Distribution
پژوهشهای ریاضی, 2016 The problem of finding tolerance intervals receives very much attention of researchers and are widely used in various statistical fields, including biometry, economics, reliability analysis and quality control.
M Naghizadeh ghomi, A Noroozi Firoze
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Credible Confidence: A Pragmatic View on the Frequentist vs Bayesian Debate
Collabra: Psychology, 2018 The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst there are fundamental theoretical and philosophical differences between both schools of thought, we argue that in two most common situations the practical ...
Casper J. Albers +2 more
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On construction of the smallest one-sided confidence interval for the difference of two proportions [PDF]
, 2010 For any class of one-sided $1-\alpha$ confidence intervals with a certain monotonicity ordering on the random confidence limit, the smallest interval, in the sense of the set inclusion for the difference of two proportions of two independent binomial ...
Weizhen Wang
semanticscholar +1 more source
Secure and Usable Bio-Passwords based on Confidence Interval [PDF]
Journal of Internet Services and Information Security, 2017 The most popular user-authentication method is the password. Many authentication systems try to enhance their security by enforcing a strong password policy, and by using the password as the first factor, something you know, with the second factor being ...
Aeyoung Kim +2 more
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Varieties of Confidence Intervals
Advances in Cognitive Psychology, 2017 Error bars are useful to understand data and their interrelations. Here, it is shown that confidence intervals of the mean (CI M s) can be adjusted based on whether the objective is to highlight differences between measures or not and based on the experimental design (within- or between-group designs). Confidence intervals (CIs) can also be adjusted to
openaire +3 more sources
Confidence interval based parameter estimation--a new SOCR applet and activity. [PDF]
PLoS ONE, 2011 Many scientific investigations depend on obtaining data-driven, accurate, robust and computationally-tractable parameter estimates. In the face of unavoidable intrinsic variability, there are different algorithmic approaches, prior assumptions and ...
Nicolas Christou, Ivo D Dinov
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Computationally efficient permutation-based confidence interval estimation for tail-area FDR
Frontiers in Genetics, 2013 Challenges of satisfying parametric assumptions in genomic settings with thousands or millions of tests have led investigators to combine powerful False Discovery Rate (FDR) approaches with computationally expensive but exact permutation testing.
Joshua eMillstein, Dmitri eVolfson
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Forecasting the Confidence Interval of Efficiency in Fuzzy DEA
Operations Research and Decisions, 2021 Data envelopment analysis (DEA) is a well-known method that based on inputs and outputs calculates the efficiency of decision-making units (DMUs). Comparing the efficiency and ranking of DMUs in different periods lets the decision-makers prevent any loss
Azarnoosh Kafi +2 more
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Bootstrap confidence intervals
, 1996 This article surveys bootstrap methods for producing good approximate confidence intervals. The goal is to improve by an order of magnitude upon the accuracy of the standard intervals 0 ?
T. DiCiccio, B. Efron
semanticscholar +1 more source
Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method
, 2005 Within-subject ANOVAs are a powerful tool to analyze data because the variance associated to differences between the participants is removed from the analysis.
D. Cousineau
semanticscholar +1 more source