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Everything about Mid-range
Arithmetic mean of the maximum and the minimum
In statistics, the mid-range or mid-extreme is a measure of central tendency of a sample defined as the arithmetic mean of the maximum and minimum values of the data set: Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Mid-rangeA 5-minute orientation
- Skim a recent paper: Iontronic pressure sensor with high sensitivity over ultra-broad linear range enabled by laser-induced gradient micro-pyramidsInfluential work since 2022
- Pick up a classic book: Developing mid-range control and function in children with fluctuating muscle toneThe most-reprinted book on the subject
- Read the landmark paper: UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old AgeCited 13,198 times
- Go sideways: L-estimatorA closely related topic
- Go sideways: Sample maximum and minimumA closely related topic
📖 Definitions
Adjective Of a central or halfway point.
Adjective Moderately priced, or of average quality.
Noun The middle portion of a particular range.
Noun A disc usually thrown for distances between fifty and one hundred meters, depending on the player.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
Tricine-sodium dodecyl sulfate-polyacrylamide gel electrophoresis for the separation of proteins in the range from 1 to 100 kDa
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range
Efficient wireless non-radiative mid-range energy transfer
Simultaneous mid-range power transfer to multiple devices
Vehicle-Track Dynamics in the Mid-Frequency Range
Heart Failure With Mid-Range (Borderline) Ejection Fraction
Hybrid nanocomposites for mid-range ballistic protection
🆕 Influential since 2022
Iontronic pressure sensor with high sensitivity over ultra-broad linear range enabled by laser-induced gradient micro-pyramids
The Person-centred Nursing Framework: a mid-range theory for nursing practice
Broadband achromatic metalens with polarization insensitivity in the mid-infrared range
Mid-Range Convolutional Modulated Transformer Network for Hyperspectral Image Classification
A Broadband Achromatic Dielectric Planar Metalens in Mid-IR Range
📚 Books worth reading
- 📕Developing mid-range control and function in children with fluctuating muscle toneRegi Boehme · 1986
- 📕Mid-Range Management TheoryAimé Heene, Ron Sanchez · 2017
- 📕An analysis of mid-range resources requirements for the National cancer programNational Cancer Institute (U.S.) · 1973
- 📕Mid-range Logistice Information Resources (LOG IR) plan, 1996-2001United States Marine Corps · 1996
- 📕Mid-range information systems plan, FY92-FY97United States Marine Corps · 1992
Living in the MiddleDonna M. Sherpa · 1993- 📕Regional issue identification and assessment (RIIA)Bob Honea · 1979
Exploring the IBM AS/400 Advanced 36Jim Hoskins, Roger Dimmick · 1994
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- L-estimator In statistics, an L-estimator (or L-statistic) is an estimator which is a linear combination of order statistics of the measurements. This can be as little…
- Sample maximum and minimum In statistics, the sample maximum and sample minimum, also called the largest observation and smallest observation, are the values of the greatest and…
- Trimmed estimator In statistics, a trimmed estimator is an estimator derived from another estimator by excluding some of the extreme values, a process called truncation…
- Efficiency (statistics) In statistics, efficiency is a measure of quality of an estimator, of an experimental design, or of a hypothesis testing procedure. Essentially, a more…
- Minimum-variance unbiased estimator In statistics a minimum-variance unbiased estimator (MVUE) or uniformly minimum-variance unbiased estimator (UMVUE) is an unbiased estimator that has lower…
- 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…
- 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…
- Truncated mean A truncated mean or trimmed mean is a statistical measure of central tendency, much like the mean and median. It involves the calculation of the mean after…