Explain laplace distribution, Advanced Statistics

Assignment Help:

Laplace distribution: The probability distribution, f(x), given by the following formula
524_laplace distribution.png 


Can be derived as the distribution of the difference of two independent random variables each having an alike exponential distribution. The examples of the distribution are shown in the Figure. The skewness mean, variance, and kurtosis of the distribution are as follows:
763_laplace distribution1.png 

1557_laplace distribution2.png


Related Discussions:- Explain laplace distribution

1, In a mathematics examination the average grade was 82 and the standard d...

In a mathematics examination the average grade was 82 and the standard deviation was 5. all students with grade from 88 to 94 received grade of B. if the grade are approximately no

Basic reproduction number, Basic reproduction number : A term used in the t...

Basic reproduction number : A term used in the theory of infectious diseases for the number of secondary cases which one case would generate in a completely susceptible population.

Artificial neural network, Artificial neural network : A mathematical arran...

Artificial neural network : A mathematical arrangement modelled on the human neural network and designed to attack various statistical problems, particularly in the region of patte

Evaluate the maximum flow, In the network shown below, the rst of the two ...

In the network shown below, the rst of the two numbers on each arc indicates the arc capacity and the second (in parentheses) of the two numbers indicates the current  flow. Use t

Fisher''s transformation, The transformation of the Pearson's product momen...

The transformation of the Pearson's product moment correlation coefficient, r, can be given by   The statistic z has the normal distribution with mean   here ρ is the pop

Define kalman filter, Kalman filter : A recursive procedure which gives an ...

Kalman filter : A recursive procedure which gives an estimate of the signal when only the 'noisy signal' can be observed. The estimate is efficiently constructed by putting the exp

Null hypothesis model, The Null Hypothesis - H0: Model does not fit the dat...

The Null Hypothesis - H0: Model does not fit the data i.e. all slopes are equal to zero β 1 =β 2 =...=β k =  0 The Alternative Hypothesis - H1:  Model does fit the data i.e. at

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd