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1. How to calculate conditional density

Hi, If we have a bivariate Gaussian dist as N(m, a). m=mean and a=variance. how can we find f(x|y) in terms of m and a? Thanks
2. Can you give me some references?

I need the derivation of the parameters of distributions including: Gumbel, Weibal, Lognormal and Gamma with both method of moments and maximum likelihood methods. Can you introduce me some references for the full derivation? If you are referencing book I appreciate if you can do more than one...
3. different test for normality

Hi, Can anybody give a brief description for different non-parametric tests of distributions (like normality)? what are differences between Kolmogorov-Smirnov, Lilifor and Shapiro-Walk tests for normality?
4. Alternative nonparametric test for chi-square test for independence

Hello, suppose we have a table like this: and we want to know if wining or loosing depends on sex (male or female) apart from chi-square test for Independence, which non-parametric tests we can use? Thanks
5. Trend Stationarity vs. Level Stationarity

Can s.b. explains the difference between Trend Stationarity and Level Stationarity?
6. How to calculate ARIMA(1,0,1)

Hello, I want to forecast the 101th data of a time series and my data is as follow 99) 0.96 100) -0.2495 101) ? and my model Coefficients: ar1 ma1 intercept 0.6769 -0.4255 0.0019 s.e. 0.1210 0.1505 0.0876 By using R I know answer is 0.084036 but I...
7. Assumptions for an ARIMA(p, d, q) model (Box-Jenkins)

I have a data set which is stationary but the histogram looks like a logaritmic distribution. Is this a problem? Is normality an assumption to use this model? what should I do? Thanks
8. charectristics of a data set for Standardizing

Hi, for standardizing a data set or (x-mean)/variance we are assuming a Gaussian distribution for the data. What should we do to know that this assumption is valid for our data? should we for example draw the QQ-Plot? Thanks
9. Assumption of variables for Factor Analysis

Hi, In wikipedia page of Factor Analysis it states:Suppose we have a set of p observable random variables. Does it mean that we can use this method only for data which are random variables?! http://en.wikipedia.org/wiki/Factor_analysis
10. What is the difference between a white noise process and a random process?

Hi, What is the difference between a white noise process and a random process? Thank you
11. p value interpretation in Mann-Kendall test

Hi, I am performing a Mann-Kendall test on a set of a data. and I got a p value of 0.15 so it means the null hypothesis of NO TREND is not rejected. Does it mean that it it accepted and there is no trend in my data or it should be 0.95 to say that there is no trend in my data? how this p value...