Fibonacci distribution, Advanced Statistics

The probability distribution of the various observations is required to obtain the run of two successes in the series of Bernoulli trials with the probability of success equal to a half. It can be given as

1727_fibbonacci distribution.png

 

Posted Date: 7/27/2012 7:23:08 AM | Location : United States







Related Discussions:- Fibonacci distribution, Assignment Help, Ask Question on Fibonacci distribution, Get Answer, Expert's Help, Fibonacci distribution Discussions

Write discussion on Fibonacci distribution
Your posts are moderated
Related Questions
need answers to questions in book advanced and multivariate statistical methods

Collector's problem : A problem which derives from the schemes in which packets of a particular brand of coffe, cereal etc., are sold with coupons, cards, or other tokens. There ar

Mosaic displays  is the graphical display of the standardized residuals from the fitting a log-linear model to a contingency table in which the colour and outline of the mosaic's '

An approach to investigations designed to recognize a particular medical condition in the large population, usually by means of a blood test, which might result in the considerable

O'Brien's two-sample tests are the extensions of the conventional tests for assessing the differences between treatment groups which take account of the possible heterogeneous nat

Nested design  is the design in which levels of one or more factors are subsampled within one or more other factors such that, for instance, each level of a factor B happens at onl

Principal components analysis is a process for analysing multivariate data which transforms original variables into the new ones which are uncorrelated and account for decreasing

Canonical correlation analysis : A process of analysis for investigating the relationship between the two groups of variables, by ?nding the linear functions of one of the sets of

The model for data containing continuous and categorical variables both.The categorical data are summarized by the contingency table and their marginal distribution, 182by the mult

An analyst counted 17 A/B runs and 26 time series observations. Do these results suggest that the data are nonrandom? Explain