Everything about Estimation
Process of finding an approximation
Estimation is the process of finding an estimate or approximation, which is a value that is usable for some purpose even if input data may be incomplete, uncertain, or unstable. The value is nonetheless usable because it is derived from the best information available. Typically, estimation involves "using the value of a statistic derived from a sample to estimate the value of a corresponding population parameter". The sample provides information that can be projected, through various formal or informal processes, to determine a range most likely to describe the missing information. An estimate that turns out to be incorrect will be an overestimate if the estimate exceeds the actual result and an underestimate if the estimate falls short of the actual result. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: EstimationA 5-minute orientation
- Skim a recent paper: Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019Influential work since 2022
- Pick up a classic book: Annual report - vital statistics of Massachusetts. (title varies)The most-reprinted book on the subject
- Read the landmark paper: Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2Cited 94,596 times
- Go sideways: Fermi problemA closely related topic
- Go sideways: Cost estimateA closely related topic
📖 Definitions
Noun The process of making an estimate.
Noun The amount, extent, position, size, or value reached in an estimate.
Noun Esteem or favourable regard.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Nonparametric Estimation from Incomplete Observations
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, Without Use of the Preparative Ultracentrifuge
Co-Integration and Error Correction: Representation, Estimation, and Testing
Another look at the instrumental variable estimation of error-components models
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Maps of Dust Infrared Emission for Use in Estimation of Reddening and Cosmic Microwave Background Radiation Foregrounds
🆕 Influential since 2022
Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
Revisiting Event-Study Designs: Robust and Efficient Estimation
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
IDF Diabetes Atlas: Estimation of Global and Regional Gestational Diabetes Mellitus Prevalence for 2021 by International Association of Diabetes in Pregnancy Study Group’s Criteria
Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?
📚 Books worth reading
Annual report - vital statistics of Massachusetts. (title varies)Massachusetts. Dept. of Public Health.
The psychology of self-esteemNathaniel Branden · 1969
Cost planning of buildingsDouglas J. Ferry, Peter S. Brandon · 1964
Estimator's Pocket BookDuncan Cartlidge · 2013- 📕Willis's Elements of Quantity SurveyingSandra Lee, William Trench · 2011
Estimating for building and civil engineering worksSpence Geddes, John Williams · 1960
Estimating and tendering for construction workMartin Brook · 2008
Willis's practice and procedure for the quantity surveyorAllan Ashworth, Keith Hogg · 2007
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Fermi problem A Fermi problem (or Fermi question, Fermi quiz), also known as an order-of-magnitude problem, is an estimation problem in physics or engineering education…
- Cost estimate A cost estimate is the approximation of the cost of a program, project, or operation. The cost estimate is the product of the cost estimating process.…
- Estimator In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity…
- Estimation theory Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component…
- Entropy estimation In various science/engineering applications, such as independent component analysis, image analysis, genetic analysis, speech recognition, manifold learning…
- Bias of an estimator In statistics, the bias of an estimator (or bias function) is the difference between this estimator's expected value and the true value of the parameter…
- Unbiased estimation of standard deviation In statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated…
- Linear least squares Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems…