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Re: Best Intro Stat Book
- To: "Clark Goble" <clark@xxxxxxxxx>
- Subject: Re: Best Intro Stat Book
- From: dummy-suckem@xxxxxxxxx (Robert)
- Date: Sun, 13 Jan 2002 13:22:40 -0500
- Folder: folders/o1.home
- In-Reply-To: <3c19b21e$0$57764$45beb828@xxxxxxxxx>
- Keywords: Book
- Newsgroups: alt.sci.math.probability,alt.sci.math.statistics.prediction,sci.stat.math
- References: <3c19b21e$0$57764$45beb828@xxxxxxxxx>
Hi. I was wondering: what book did you final settle upon?
> From: "Clark Goble" <clark@xxxxxxxxx>
> Date: 14 Dec 2001 02:05:27 -0600
>
> I have a friend at work who wants to be able to understand better some of
> the algorythms we are working on. Most of them involve Markov models,
> Bayesian statistics (belief networks), and then some relatively simple inner
> products for computing similarity.
>
> Since I learned most of my stats in physics and the rest by simply figuring
> it out, I'm not sure what books to suggest for him. His background in math
> is fairly basic, but he can certainly figure things out through calculus.
> It seems to me that most stats is fairly simple and that half the problem is
> getting a conceptual grasp and then getting the notation down. So I figure
> there has to be a good primer that would help him out. He's quite smart,
> but not really that mathematically minded. So probably something with lots
> of examples and solved problems would be best. I looked around, but most of
> the books just deal with the same old stuff, which while relavant, doesn't
> quite get into Bayesian stuff that much. Most books I've found seem more
> oriented on either theory or traditional stuff about bell curves.
>
> Any good suggestions for books? I'd like to get him a few for Christmas.
>
> Thanks
>
> Clark