Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,237,289 papers from all fields of science
Search
Sign In
Create Free Account
Normal Statistical Distribution
Known as:
Distributions, Normal
, Gaussian distribution
, Distribution, Normal
Expand
A family of probability density functions whose mean, median and mode are identical. The function generates a symmetrical curve, whose position and…
Expand
National Institutes of Health
Create Alert
Alert
Related topics
Related topics
1 relation
Broader (1)
Frequency Distribution
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2001
Highly Cited
2001
Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization
T. Simpson
,
Timothy M. Mauery
,
J. Korte
,
F. Mistree
2001
Corpus ID: 29993723
Response surface methods have been used for a variety of applications in aerospace engineering, particularly in multidisciplinary…
Expand
Highly Cited
2000
Highly Cited
2000
DCT-domain watermarking techniques for still images: detector performance analysis and a new structure
J. R. Hernández
,
M. Amado
,
F. Pérez-González
IEEE Transactions on Image Processing
2000
Corpus ID: 17986878
In this paper, a spread-spectrum-like discrete cosine transform (DCT) domain watermarking technique for copyright protection of…
Expand
Highly Cited
1997
Highly Cited
1997
Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classi
B. Schh
,
K. Sung
,
+4 authors
V. Vapnik
1997
Corpus ID: 1900499
The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains…
Expand
Highly Cited
1996
Highly Cited
1996
ProMod and Swiss-Model: Internet-based tools for automated comparative protein modelling.
M. Peitsch
Biochemical Society Transactions
1996
Corpus ID: 36194831
29 30 Pharmacol. 37, 341-346 Brooks, B. R., Bruccoleri, R. E., Olafson, B. D., States, D. J., Swaminathan, S., Karplus, M. (1983…
Expand
Highly Cited
1996
Highly Cited
1996
High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results
L. Østergaard
,
A. Sorensen
,
K. Kwong
,
R. Weisskoff
,
C. Gyldensted
,
B. Rosen
Magnetic Resonance in Medicine
1996
Corpus ID: 43009973
This report evaluates several methods to map relative cerebral blood flow (rCBF) by applying both parametric and non‐parametric…
Expand
Highly Cited
1996
Highly Cited
1996
A new efficient approach for the removal of impulse noise from highly corrupted images
E. Abreu
,
M. Lightstone
,
S. Mitra
,
K. Arakawa
IEEE Transactions on Image Processing
1996
Corpus ID: 206470796
A new framework for removing impulse noise from images is presented in which the nature of the filtering operation is conditioned…
Expand
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
Expand
Highly Cited
1971
Highly Cited
1971
Influence of statistical method used on the resulting estimate of normal range.
A. H. Reed
,
R. J. Henry
,
W. B. Mason
Clinical Chemistry
1971
Corpus ID: 6964084
The choice of statistical method can greatly influence the calculated normal range apart from any biological or chemical…
Expand
Highly Cited
1967
Highly Cited
1967
A simple method of resolution of a distribution into gaussian components.
Bhattacharya Cg
1967
Corpus ID: 204013883
The distributionof a morphometric character inl a biological population is a mixture of components corresponding to different…
Expand
Highly Cited
1954
Highly Cited
1954
Probability and Information Theory with Applications to Radar
P. M. Woodward
1954
Corpus ID: 60574186
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE