The results showed:students'mark appeared normal distribution;
This is a more reliable measure of process performance for folded normal distribution since folded normal distribution is one-sided.
Reliability-enabled robust design for multi-failure-mode mechanical systems based on non-normal distribution parameters
The manufacturing deviation of grids structures was assumed to be in normal distribution, and the normal random sampling was realized by acceptance-rejection method.
Earlier in this section, we noted that the tails of the normal distribution approach but never touch the horizontal axis.
It is verified that in the function of normal distribution can be expressed the density law of the rock structure crevice group and the calculation error is minor.
Well, the mean is always .2 no matter how many policies you write, so it's going to be--we're going to have a normal distribution centered on .2.
The results show that the daily turnover of the Shanghai and Shenzhen stock markets does not conform to a normal distribution with autocorrelation and ARCH effects in the daily market turnover.
normal distribution curve
Test random sample from a normal distribution.
At the same time, the Yunnan's precipitation normal distribution has some regional features and local ones. The different month in same station has different normal distribution characteristics.
Drag onto the page to show a normal distribution of data.
The range of immune response in a large random population of animals tends to fellow a normal distribution.
How to strengthen applied experiments, ensure the normal distribution of students marks and adjust the structure of text books reasonably are expounded.
When apply the mentioned model to the trust plan for Beijing CBD, it computes the expected default probabilities and the expected default loss, which utilizes the relative data of the case, under the assumption of the logarithm normal distribution and the normal distribution.
log normal distribution
This is called the normal distribution or the Gaussian distribution--it's a continuous distribution.
Critical values of unbiased test on significance tests in variance of one sample normal distribution
Parameter estimation of logarithmic normal distribution with one parameter under type I censoring sample with missed data
I want to — another concept — I guess I've just been implicit in what I have — There's a distribution called the normal distribution and that is — I'm sure you've heard of this, right?
On evaluating the hitting precision of a missile which throws sub-missiles, it is a key question to estimate the normal distribution parameter of the sub-missile dispersion center.
dinates of the bivariate normal distribution
The admissible linear estimates of the mean matrix on the matrix-normal distribution
When we study stock market, we usually think that the model of stock price obeys Brownian movement, which log-return characterize normal distribution.
In accordance with the damage data of gas pipelines collected in the Chi-Chi earthquake, the study assumes that the empirical fragility curves can be expressed in the form of two-parameter normal distribution functions.
Result: The final score of each module shows normal distribution.
The stand diameter distribution of juvenile stand appears an inversed "J"form, and that of the half mature forest approximately a normal distribution.
The results of empirical study indicate that the SV models based on the heavy_tailed distribution account more adequately for the features of the return series and volatility of Chinese stock market than that based on the normal distribution.
Upper confidence limits of coefficient of variation for normal distribution
When Rubens turned ten, his IQ was within the range of measurement, but it was already at the end of the normal distribution curve.
a symmetrical curve representing the normal distribution.
The results show that EGARCH is the best model for forecasting long-term volatility. Furthermore, using EGARCH with the Student t-distribution gives better results than with a normal distribution.
By means of the density function fitting method of weighted sum of normal kernels the optimizing problem of template matching for non-normal distribution image is solved.
In general, the t distribution is flatter than the normal distribution, and there is a different t distribution for every possible sample size.
For products without historical data, this paper gives the minimum decision values based on normal distribution law and practical experience.
multivariate normal distribution
Techniques from the Probabilistic perturbation method and the Edgeworth series technique were employed to present the practical and effective method for the reliability optimization design for torsion bar with non-normal distribution parameters of vehicle under the conditions of given the first four moments of basic random varia
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