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Everything about Interval estimation
Interval bounded by an upper and a lower limit statistics
In statistics, interval estimation is the use of sample data to estimate an interval of possible values of a (sample) parameter of interest. This is in contrast to point estimation, which gives a single value. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Interval estimationA 5-minute orientation
- Skim a recent paper: Interval estimation for asynchronously switched positive systemsInfluential work since 2022
- Pick up a classic book: Empirical likelihood method in survival analysisThe most-reprinted book on the subject
- Read the landmark paper: Structural Model Evaluation and Modification: An Interval Estimation ApproachCited 5,780 times
- Go sideways: Statistical inferenceA closely related topic
- Go sideways: Credible intervalA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Structural Model Evaluation and Modification: An Interval Estimation Approach
Interval Estimation for a Binomial Proportion
Confidence Interval Estimation of Interaction
Some Problems in Interval Estimation
Simultaneous Confidence Interval Estimation
Interval Estimation from the Likelihood Function
Quantile interval estimation
Integrated estimation of interval-attenuation profiles
🆕 Influential since 2022
Interval estimation for asynchronously switched positive systems
Ellipsoid-Based Interval Estimation for Lipschitz Nonlinear Systems
“Omics” and Postmortem Interval Estimation: A Systematic Review
Estimation of the post-mortem interval: a review
Interval Estimation for Time-Varying Descriptor Systems via Simultaneous Optimizations of Multiple Interval Widths
📚 Books worth reading
Empirical likelihood method in survival analysisMai Zhou · 2015
The theory of statistical inferenceShelemyahu Zacks · 1971- 📕Confidence interval estimation for functions of the normal mean and variance occurring in problems involving transformations of dataCharles E. Land · 1972
Parameter-free designs and confidence regions for nonlinear modelsChinnaphong Bumrungsup · 1984- 📕Tables for Mood's distribution-free interval estimation technique for differences between two mediansJohn H. Bowen · 1960
- 📕Confidence bands for the three-parameter logistic item response curveFrederic M. Lord · 1988
- 📕Asymptotic variance of the interclass correlation coefficientK. J. Keen · 1989
- 📕A second order approximation for estimation following sequential testsKyungmann Kim, Wisconsin Clinical Cancer Center. Biostatistics · 1986
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Statistical inference Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis…
- Credible interval In Bayesian statistics, a credible interval is an interval used to characterize a probability distribution. It is defined such that an unobserved parameter…
- Fiducial inference Fiducial inference is one of a number of different types of statistical inference. These are rules, intended for general application, by which conclusions…
- Prediction interval In statistical inference, specifically predictive inference, a prediction interval is an estimate of an interval in which a future observation will fall…
- Confidence interval In frequentist inference, a confidence interval (CI) determines lower and upper bounds likely to contain (in repeated sampling) the true value of an unknown…
- Confidence distribution In statistical inference, the concept of a confidence distribution (CD) has often been loosely referred to as a distribution function on the parameter…
- Point estimation In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate, since it identifies a point rather…
- Likelihood function A likelihood function (often simply called the likelihood) gives the relative merit of various statistical models for describing a data set. Often the…