[R] Recommendation on a probability textbook (conditional probability)
I need to refresh my memory on Probability Theory, especially on conditional probability. In particular, I want to solve the following two problems. Can somebody point me some good books on Probability Theory? Thank you! 1. Z=X+Y, where X and Y are independent random variables and their distributions are known. Now, I want to compute E(X | Z = z). 2.Suppose that I have $I \times J$ random number in I by J cells. For the random number in the cell on the i'th row and the j's column, it follows Poisson distribution with the parameter $\mu_{ij}$. I want to compute P(n_{i1},n_{i2},...,n_{iJ} | \sum_{j=1}^J n_{ij}), which the probability distribution in a row conditioned on the row sum. Some book directly states that the conditional distribution is a multinomial distribution with parameters (p_{i1},p_{i2},...,p_{iJ}), where p_{ij} = \mu_{ij}/\sum_{j=1}^J \mu_{ij}. But I'm not sure how to derive it. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Recommendation on a probability textbook (conditional probability)
What's the title? On Fri, Oct 16, 2009 at 8:16 PM, Yi Du abraham...@gmail.com wrote: Hogg's book is enough for you considering your problems. Yi On Fri, Oct 16, 2009 at 7:12 PM, Peng Yu pengyu...@gmail.com wrote: I need to refresh my memory on Probability Theory, especially on conditional probability. In particular, I want to solve the following two problems. Can somebody point me some good books on Probability Theory? Thank you! 1. Z=X+Y, where X and Y are independent random variables and their distributions are known. Now, I want to compute E(X | Z = z). 2.Suppose that I have $I \times J$ random number in I by J cells. For the random number in the cell on the i'th row and the j's column, it follows Poisson distribution with the parameter $\mu_{ij}$. I want to compute P(n_{i1},n_{i2},...,n_{iJ} | \sum_{j=1}^J n_{ij}), which the probability distribution in a row conditioned on the row sum. Some book directly states that the conditional distribution is a multinomial distribution with parameters (p_{i1},p_{i2},...,p_{iJ}), where p_{ij} = \mu_{ij}/\sum_{j=1}^J \mu_{ij}. But I'm not sure how to derive it. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Yi Du __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Recommendation on a probability textbook (conditional probability)
On Fri, Oct 16, 2009 at 9:37 PM, Peng Yu pengyu...@gmail.com wrote: What's the title? Introduction to Probability. On Fri, Oct 16, 2009 at 8:16 PM, Yi Du abraham...@gmail.com wrote: Hogg's book is enough for you considering your problems. Yi On Fri, Oct 16, 2009 at 7:12 PM, Peng Yu pengyu...@gmail.com wrote: I need to refresh my memory on Probability Theory, especially on conditional probability. In particular, I want to solve the following two problems. Can somebody point me some good books on Probability Theory? Thank you! 1. Z=X+Y, where X and Y are independent random variables and their distributions are known. Now, I want to compute E(X | Z = z). 2.Suppose that I have $I \times J$ random number in I by J cells. For the random number in the cell on the i'th row and the j's column, it follows Poisson distribution with the parameter $\mu_{ij}$. I want to compute P(n_{i1},n_{i2},...,n_{iJ} | \sum_{j=1}^J n_{ij}), which the probability distribution in a row conditioned on the row sum. Some book directly states that the conditional distribution is a multinomial distribution with parameters (p_{i1},p_{i2},...,p_{iJ}), where p_{ij} = \mu_{ij}/\sum_{j=1}^J \mu_{ij}. But I'm not sure how to derive it. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Yi Du __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Recommendation on a probability textbook (conditional probability)
There are many examples in the book. Since I'm refreshing my memory. Is there a more concise one? On Fri, Oct 16, 2009 at 8:26 PM, Ista Zahn istaz...@gmail.com wrote: I like Grinstead and Snell, not least because it's free: http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/book.html -Ista On Fri, Oct 16, 2009 at 9:12 PM, Peng Yu pengyu...@gmail.com wrote: I need to refresh my memory on Probability Theory, especially on conditional probability. In particular, I want to solve the following two problems. Can somebody point me some good books on Probability Theory? Thank you! 1. Z=X+Y, where X and Y are independent random variables and their distributions are known. Now, I want to compute E(X | Z = z). 2.Suppose that I have $I \times J$ random number in I by J cells. For the random number in the cell on the i'th row and the j's column, it follows Poisson distribution with the parameter $\mu_{ij}$. I want to compute P(n_{i1},n_{i2},...,n_{iJ} | \sum_{j=1}^J n_{ij}), which the probability distribution in a row conditioned on the row sum. Some book directly states that the conditional distribution is a multinomial distribution with parameters (p_{i1},p_{i2},...,p_{iJ}), where p_{ij} = \mu_{ij}/\sum_{j=1}^J \mu_{ij}. But I'm not sure how to derive it. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.