Kevin Gehringer
Biometrics Northwest LLC
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Since September of 2004 Kevin has been running Biometrics Northwest LLC, a statistics and biometrics consulting company. Kevin has a Ph.D. in Forest Biometrics from the University of Washington, and M.S. and B.S. degrees from the University of Tulsa in Applied Mathematics and Mathematics with a Computer Science minor. His research included predictive dynamic modeling of forest development, nonparametric multivariate classification of forests types, the simulation of natural and managed forests, and nonparametric probability density estimation. Kevin's education is in biometrics, statistics, applied mathematics, and numerical computing, and he has performed research in parametric and nonparametric statistical methods, including clustering and classification algorithms, probability density estimation, simulation modeling, Monte Carlo analysis, nonlinear differential equations, optimization and parameter estimation.
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bsspdfest
A toolbox for nonparametric probability function estimation using normalized B-splines
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str2doublef
Fast approximate string to double parsing for real or complex numbers.
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Determine if input is odd
Given the input n, return true if n is odd or false if n is even.
mehr als 4 Jahre vor
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Determine whether a vector is monotonically increasing
Return true if the elements of the input vector increase monotonically (i.e. each element is larger than the previous). Return f...
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Swap the first and last columns
Flip the outermost columns of matrix A, so that the first column becomes the last and the last column becomes the first. All oth...
mehr als 4 Jahre vor