Recent content by Deimantas

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    Goodness-of-fit chi-square test on GLM's in R

    Homework Statement Hello, I've stumbled upon an interesting analysis of GLM's in R (http://www.magesblog.com/2015/08/generalised-linear-models-in-r.html). However it's only a graphical analysis so I wanted to make sure the models are fitting by using an actual statistics test. The test...
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    Diagonalizing a Matrix: Steps and Verification

    Wolfram suggests these eigenvalues . I must have made some mistakes then.
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    Diagonalizing a Matrix: Steps and Verification

    Homework Statement Diagonalize matrix using only row/column switching; multiplying row/column by a scalar; adding a row/column, multiplied by some polynomial, to another row/column. Homework EquationsThe Attempt at a Solution After diagonalization I get a diagonal matrix that looks like...
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    Mathematical pendulum in a rotating plane

    Hello, I'm looking for information regarding this equation: or specifically in my case, when a=1:. This equation supposedly describes a mathematical pendulum in a rotating plane, however, I'm unable to find information on this specific subject. I'd really appreciate it if someone could show me...
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    Forecasting stationary data that has no trend/seasonality

    Homework Statement We've got a random variable that appears to have no trend/seasonality, is stationary, and we want to forecast it. The variable is number of warranty claims received each day, 53 days, so we've got 53 values, and we want to forecast the values of the upcoming 5 days. 2. The...
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    Statistics - data follows x distribution

    Thanks for your help, I now realize my perception of binomial distribution was a bit off. This made me understand.
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    Statistics - data follows x distribution

    Hello, If I estimate n and p using formulas mean=n*p variance=n*p*(1-p) it yields p=0.275707172 and n=2.18492684. I don't see a way to use this, sample n is 2500, so this estimate of n would be nonsense. I've read more about estimating binomial parameters when both n and p are unknown, and...
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    Statistics - data follows x distribution

    I don't think I could solve it with both n and p being unknown. I just took n=2500. Then it's easy to see that p=0.000241 Probablities of B(2500,0.000241): probability of a 0: 0.547 probability of a 1: 0.33 probability of a 2: 0.099 then I multiply each probability by n=2500, to get...
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    Statistics - data follows x distribution

    Homework Statement The data contains 2500 integers, each is either a 0, 1 or 2: zeroes: 1240 ones: 1014 two's: 246 Does the data follow Poisson, geometric, binomial or negative-binomial distribution? Homework Equations The Attempt at a Solution The mean of the data is...
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    Parametric hypothesis, uniform distribution

    I think I might have got it. The reason values like 2.99 or 2.999 won't work is because b value is the maximum, and we already have a maximum of 3 in our sample of 100 elements. So the real value of parameter b can't be smaller than the one we already have in our sample, only equal or larger. I...
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    Parametric hypothesis, uniform distribution

    Homework Statement We are given a sample of size 100. After some tests (histogram, Kolmogorov) we deduce the sample X is distributed uniformly. The next task is to presume the parameters are equal to values of your choice, and test if such hypothesis is true. Homework Equations The Attempt at...
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    Creating a matrix with desirable eigenvalues

    I'm afraid acquinting myself with LAPACK would take too much time.. Oh and it turns out matrix rotation isn't exactly the thing I was looking for, because what I need is a 100x100 matrix, not 2x2 or 3x3..
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    Preconditioning the Steepest Descent Method

    Homework Statement Homework Equations Pk = A*Xk - F τk = ((A*Xk - F)*(A*Xk - F))/(A*(A*Xk - F))*(A*Xk - F) Xk+1 = Xk - τk * (A*Xk - F) The Attempt at a Solution We are given a system of equations: AX=F, where A3x3= (2 1 0.95; 1 2...
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    Creating a matrix with desirable eigenvalues

    Thank you both for the help, much appreciated
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