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An interval estimation of expected response to selection
Theoretical and Applied Genetics, 1979A method is presented here for obtaining an interval estimate of expected response to selection based on results of a progeny test experiment. The structure of the constructed confidence limits is then examined for the influence of the numbers of lines and replicates on the precision of predicting the expected response to selection.
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Measuring Inflation Expectations Using Interval‐Coded Data* [PDF]
Oxford Bulletin of Economics and Statistics, 2012 AbstractTo quantify qualitative survey data, the Carlson–Parkin method assumes normality, a time‐invariant symmetric indifference interval, and long‐run unbiased expectations. These assumptions are unnecessary for interval‐coded data. In April 2004, the Monthly Consumer Confidence Survey in Japan started to ask households about their price expectations
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Point and expected interval availability analysis with stationarity detection
Computers & Operations Research, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haïscam Abdallah +2 more
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The weighted fuzzy expected interval
Fuzzy Sets and Systems, 1990Abstract The use of the fuzzy expected value (FEV) as a ‘typical’ grade of membership within a fuzzy set, may occasionally generate improper results. In these cases we replace it by the weighted fuzzy expected value (WFEV) and demonstrate its improved performance. However, when the information available is fuzzy or incomplete, neither the FEV nor the
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Scalar expectancy theory and peak-interval timing in humans.
Journal of Experimental Psychology: Animal Behavior Processes, 1998The properties of the internal clock, temporal memory, and decision processes used to time short durations were investigated. The peak-interval procedure was used to evaluate the timing of 8-, 12-, and 21-s intervals, and analyses were conducted on the mean response functions and on individual trials.
Rakitin, B. +5 more
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Trapezoidal and triangular approximations preserving the expected interval
Fuzzy Sets and Systems, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Inclusion degree tests for the Aumann expectation of a random interval
Information Sciences, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ana Belén Ramos-Guajardo +2 more
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Mid‐p confidence intervals for the poisson expectation
Statistics in Medicine, 1994AbstractConventionally a confidence interval (CI) for the standardized mortality ratio is set using the conservative CI for a Poisson expectation, μ. Employing the mid‐P argument we present alternative CIs that are shorter than the conventional ones. The mid‐P intervals do not guarantee the nominal confidence level, but the true coverage probability is
G R, Cohen, S Y, Yang
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Comparison between Expected and Observed Fisher Information in Interval Estimation
2021 55th Annual Conference on Information Sciences and Systems (CISS), 2021Maximum likelihood estimates and corresponding confidence regions of the estimates are commonly used in statistical inference. In practice, people usually construct approximate confidence regions with the Fisher information at given sample data based on the asymptotic normal distribution of the MLE (maximum likelihood estimator).
Sihang Jiang, James C. Spall
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Expected utility with an interval ordered structure
Journal of Mathematical Psychology, 1988This paper examines an interval ordered structure under risky conditions and proves that it has an expected utility representation with a threshold function. In addition to the assumption of an interval order, two independence axioms and a strong Archimedean axiom are necessary and sufficient for the representation.
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