unimodal distribution वाक्य
उदाहरण वाक्य
मोबाइल
- A mixture of two unimodal distributions with differing means is not necessarily bimodal.
- In symbols for these positively skewed unimodal distributions
- Mismatch analysis showed a unimodal distribution.
- These estimators have been used to create hypothesis tests for simple samples from normal or symmetrical unimodal distributions.
- In simulations with a variates drawn from a uniform distribution the PCI 2 has a symmetric unimodal distribution.
- Rohatgi and Szekely have shown that the skewness and kurtosis of a unimodal distribution are related by the inequality:
- For a large class of unimodal distributions that are positively skewed the mode, median and mean fall in that order.
- It is possible for an unknown unimodal distribution to estimate a confidence interval for the mode with a sample size of 1.
- In symmetric unimodal distributions, such as the normal distribution, the mean ( if defined ), median and mode all coincide.
- Other examples of unimodal distributions include Cauchy distribution, Student's t-distribution, chi-squared distribution and exponential distribution.
- A bimodal distribution most commonly arises as a mixture of two different unimodal distributions ( i . e . distributions having only one mode ).
- Bimodal distributions have the peculiar property that unlike the unimodal distributions the mean may be a more robust sample estimator than the median.
- Conversely for a large class of unimodal distributions that are negatively skewed the mean is less than the median which in turn is less than the mode.
- Let " X " be a random variable with unimodal distribution, mean & mu; and finite, non-zero variance & sigma; 2.
- This results in a bimodal vibrational density profile that changes smoothly to a unimodal distribution as the well shallows, leading continuously into the vibrational density profile associated with a single well.
- The authors recommended a cut off value of 1.5 with B being greater than 1.5 for a bimodal distribution and less than 1.5 for a unimodal distribution.
- For a unimodal distribution, negative skew indicates that the " tail " on the left side of the probability density function is data might be transformed to have a normal distribution.
- The description of kurtosis as a measure of the " peakedness " ( or " heavy tails " ) of the probability distribution, is strictly applicable to unimodal distributions ( for example the normal distribution ).
- For dimension 3 I'd expect a uniform distribution on [-1, 1 ]-- cf Lambert cylindrical equal-area projection-- and increasingly narrow unimodal distribution for dimension 4 and above.
- In statistics, a "'unimodal probability distribution "'( or when referring to the distribution, a "'unimodal distribution "') is a probability distribution which has a single mode.
- अधिक वाक्य: 1 2
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