Systems for which normal modes exist, the normal mode method provides a simple analytical framework for determining the dynamic response of continuous fuzzy stochastic dynamical systems. The theory of the response, fuzzy mean response and fuzzy covariance response of continuous systems to fuzzy random ...
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. THE [14C]DEOXYGLUCOSE METHOD FOR THE MEASUREMENT OF LOCAL CEREBRAL GLUCOSE UTILIZATION: THEORY, PROCEDURE, AND NORMAL VALUES IN THE ......
The normal mode theory is used to provide transient dynamic responses for the equations of motion. 本文使用模态叠加法求解瞬态响应方程,讨论了壳体参数和材料参数对于响应的影响,给出了部分结果. 来自互联网 13. A system with good normal - mode noise rejection can usually remove this noise from the me...
Rayleigh Distribution— The Rayleigh distribution is a special case of the Weibull distribution with applications in communications theory. If the component velocities of a particle in the x and y directions are two independent normal random variables with zero means and equal variances, then the dist...
Method 5. Statistical Learning TheoryAn alternative method to derive the normal equation arises from the statistical learning theory. The aim of this task is to minimize the expected prediction error given by:EPE(β)=∫(y−xTβ)Pr(dx,dy), where x stands for a column vector of random vari...
3.(Mathematics)mathsan inexact number, relationship, or theory that is sufficiently accurate for a specific purpose 4.(Mathematics)maths a.an estimate of the value of some quantity to a desired degree of accuracy b.an expression in simpler terms than a given expression which approximates to it...
[5] Meeker, W. Q., and L. A. Escobar.Statistical Methods for Reliability Data. Hoboken, NJ: John Wiley & Sons, Inc., 1998. [6] Mood, A. M., F. A. Graybill, and D. C. Boes.Introduction to the Theory of Statistics.3rd ed., New York: McGraw-Hill, 1974. pp. 540–541. ...
A typical normal data distribution: importnumpy importmatplotlib.pyplotasplt x =numpy.random.normal(5.0,1.0,100000) plt.hist(x,100) plt.show() Result: Run example » Histogram Explained We use the array from thenumpy.random.normal()method, with 100000 values, to draw a histogram with 100...
Theory Methods 2010, 39, 884–898. [Google Scholar] [CrossRef] Arellano-Valle, R.B.; Gómez, H.W.; Salinas, H.S. A note on the Fisher information matrix for the skew-generalized-normal model. SORT 2013, 37, 19–28. [Google Scholar] Arrué, J.; Arellano-Valle, R.B.; Gómez, ...
本文使用密度泛函理论(Density functional theory, DFT)和经典力场(Tersoff势)进行了硅的分子动力学模拟,再通过速度自相关函数(Velocity autocorrelation function, VACF)得到倒空间中各点上不同简正模的本征值及线宽,研究了声子非谐效应导致的频率变化与温度的关系。