 Normal Distribution
"Normal Distribution" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.
| Descriptor ID |
D016011
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| MeSH Number(s) |
E05.318.740.994.500 G17.820.500 N05.715.360.750.750.565 N06.850.520.830.994.500
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| Concept/Terms |
Normal Distribution- Normal Distribution
- Distribution, Normal
- Distributions, Normal
- Normal Distributions
- Gaussian Distribution
- Distribution, Gaussian
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Below are MeSH descriptors whose meaning is more general than "Normal Distribution".
Below are MeSH descriptors whose meaning is more specific than "Normal Distribution".
This graph shows the total number of publications written about "Normal Distribution" by people in this website by year, and whether "Normal Distribution" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1992 | 0 | 1 | 1 | | 1993 | 0 | 1 | 1 | | 2003 | 0 | 1 | 1 | | 2005 | 0 | 1 | 1 | | 2008 | 0 | 1 | 1 | | 2009 | 0 | 1 | 1 | | 2011 | 0 | 3 | 3 | | 2014 | 0 | 1 | 1 |
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Below are the most recent publications written about "Normal Distribution" by people in Profiles.
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He K, Retterer ST, Srijanto BR, Conrad JC, Krishnamoorti R. Transport and dispersion of nanoparticles in periodic nanopost arrays. ACS Nano. 2014 May 27; 8(5):4221-7.
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Tsai JS, Chen FM, Yu TY, Guo SM, Shieh LS. Efficient decentralized iterative learning tracker for unknown sampled-data interconnected large-scale state-delay system with closed-loop decoupling property. ISA Trans. 2012 Jan; 51(1):81-94.
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Bi H, Zhang B, Tao X, Harwerth RS, Smith EL, Chino YM. Neuronal responses in visual area V2 (V2) of macaque monkeys with strabismic amblyopia. Cereb Cortex. 2011 Sep; 21(9):2033-45.
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Mendizabal-Ruiz EG, Biros G, Kakadiaris IA. Towards extra-luminal blood detection from intravascular ultrasound radio frequency data. Med Image Comput Comput Assist Interv. 2011; 14(Pt 1):396-403.
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Gutnisky DA, Josic K. Generation of spatiotemporally correlated spike trains and local field potentials using a multivariate autoregressive process. J Neurophysiol. 2010 May; 103(5):2912-30.
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Narasimha-Iyer H, Mahadevan V, Beach JM, Roysam B. Improved detection of the central reflex in retinal vessels using a generalized dual-gaussian model and robust hypothesis testing. IEEE Trans Inf Technol Biomed. 2008 May; 12(3):406-10.
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Tyrrell JA, Mahadevan V, Tong RT, Brown EB, Jain RK, Roysam B. A 2-D/3-D model-based method to quantify the complexity of microvasculature imaged by in vivo multiphoton microscopy. Microvasc Res. 2005 Nov; 70(3):165-78.
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Donchin O, Francis JT, Shadmehr R. Quantifying generalization from trial-by-trial behavior of adaptive systems that learn with basis functions: theory and experiments in human motor control. J Neurosci. 2003 Oct 08; 23(27):9032-45.
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Applegate RA, Lakshminarayanan V. Parametric representation of Stiles-Crawford functions: normal variation of peak location and directionality. J Opt Soc Am A. 1993 Jul; 10(7):1611-23.
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Shaywitz SE, Escobar MD, Shaywitz BA, Fletcher JM, Makuch R. Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability. N Engl J Med. 1992 Jan 16; 326(3):145-50.
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