similar to: Looking for a textbook that is more concise than Applied Linear Statistical Models (2004 version)

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

Hi: I have a working invoicing application. All was well. Then I added another table to the database. Following that I use script/generate scaffold User I was hoping that this would generated the usual stuff but just for this model. It did. I can see all the views including _form, new, list etc. However, athough I can access list as per normal, when I try to create a new user it

I currently have 2 samba servers (3.0.25a) one running FreeBSD 6.2 and the other running CentOS 5. Both are setup the same and using the same smb.conf. The FreeBSD server works great, no problems. The linux server works great too except on logout. When a user goes to logout, windows errors with "Windows was unable to save all the data for the file prf*.tmp. The data has been lost. This error

I've recently upgraded a Centos 5.3 machine to Centos 5.5. The hardware isn't HVM capabile so I'm only running para-virt guests. Using a vanilla i386 kernel boots without, but the newer kernel-xen locks up the Dom0 after a couple of minute. I'm only booting into single user mode for these tests so no VMs are active. *kernel-xen-2.6.18-128.1.10.el5 - no issues

Greetings! I am looking for advice regarding the best way to compare GAMMs. I know other model outputs return enough information for R's AIC, ANOVA, etc. commands to function, but this is not the case with GAMM unless one specifies the gam or lme portion. I know these parts of the gamm contain items that will facilitate comparisons between gamms. Is it correct to simply use these values

Hi, Is there a concise/ruby way to do the following: [Note: 1 and 2 below are not related.] (1) for p in 0...@order.line_items[k].shipment_lines.length shipline_qty = shipline_qty + @order.line_items[k].shipment_lines[p].quantity end (2) ts = Array.new for tk in s.trackings ts.push(tk) end

Hello, Can anyone tell me the format for meetme list concise command, so that I know what field is what (separated by '!'s) Thanks -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.digium.com/pipermail/asterisk-users/attachments/20130815/eba161be/attachment.htm>

Hi there, Just a small suggestion : The following apis could be a bit more concise / shorter / pleasant I thought. This is particularly difficult, my brain stumbles on this each time when scanning thorugh the code :) set_no_auto_load(true) Could it be two apis instead? auto_load no_auto_load and the other one : worker_name :important_worker (no set_ prefix) thanks, emil

Thanks for the previous tips and suggestions. Here's a more concise example: Input file: <aaaa> <bbbb> <cccc> <dddd> I want everything on one line, i.e., remove all newlines. Like so: <aaaa><bbbb><cccc><dddd> Simple perl code: #!/usr/bin/env perl # Remove newlines from a file in two ways: # (1) Just "chomp" them; # (2) Replace

I like the concise version of stubs available on true mocks: => #<Mock:0x32f76d4> >> foo.stubs(:one => ''hi'', :two => ''again'') => {:one=>"hi", :two=>"again"} Why can''t we do it on ''real'' objects? >> foo = Object.new >> foo.stubs(:method1 => ''a'',

def edit @item = Item.find(params[:id]) redirect_to :action=>:list if (request.post? and @item.update_attributes(params[:item])) end I could probably condense it into one line (something like ...and(@item=Item.update...)), but I''ll probably actually use: def edit @item = Item.find(params[:id]) if request.post? and @item.update_attributes(params[:item]) flash[:notice]

I am getting a priveldged command error on the manager API. 16-Feb-09 11:51 am asterisk_command() Action: Login 16-Feb-09 11:51 am asterisk_command() Username: XXX 16-Feb-09 11:51 am asterisk_command() Secret: ZZZZ 16-Feb-09 11:51 am asterisk_command() Events: off 16-Feb-09 11:51 am DEBUG: Response: Success[CR ][LF ]Message: Authentication accepted[CR ][LF ][CR ][LF ] 16-Feb-09 11:51 am

Readers, Using version 251 I tried the following command: lm(y~a+b,data=datafile) Resulting in, inter alia: ... coefficients (intercept) a 1.2 3.4 Packages installed: acepack ace() and avas() for selecting regression transformations adlift An adaptive lifting scheme algorithm akima Interpolation of irregularly spaced

R-helpers: I'm sure this question has been asked and answered through the ages, but given there are some new textbooks out there, I wanted to re-pose it. For a course that will cover the application of R for general computing and spatial modeling, what textbook would be best to introduce computing with R to *undergrads*? I understand Bivand and Pebesma's book is fine for spatial work,

Forgive my newbness. I'm pretty fresh to Linux, but trying to port some reasonably sizable windows apps that I have written. Certainly my gui apps appear to work directly with wine. I also have stuff that makes more sense to use with winelibs. I've had no significant difficulties setting up and compiling bits an pieces, basically just to get my orientation sorted. One of my apps is an

Monte, For a list of online sources that may be useful, go to http://www.uvm.edu/~dhowell/methods/Websites/Archives.html and check out some of the material referenced there. Clay Helberg's site is particularly helpful. Unfortunately it is virtually impossible to keep links current, so some are likely to be dead--although you can often find them via Google. Dave Howell -- David C. Howell

Dear Lists, I got the chance to review Bob Muenchen's book - R for SAS and SPSS users. While my detailed review is online at www.decisionstats.com, the book is a welcome addition in R Textbooks for beginners and an especially nice one for people who have experience in SAS and /or SPSS languages. AT 50 USD, it's reasonably priced for all geographies (;) , and quite handy as a refernce book

I'll be teaching a graduate course on (the analysis of) experimental designs next year, using R. Does anyone know of a suitable textbook? (Venables and Ripley MASS Ch6 on Linear Models covers roughly the right material, but at a level that is way too difficult for my students.) Sorry if this has been asked before. I've looked through the archives and found Julian Faraway's book, but

Hi list, I'm working with gamm models of this sort, using Simon Wood's mgcv library: gm<- gamm(Z~te(x,y),data=DATA,random=list(Group=~1)) gm1<-gamm(Z~te(x,y,by=Factor)+Factor,data=DATA,random=list(Group=~1)) with a dataset of about 70000 rows and 110 levels for Group in order to test whether tensor product smooths vary across factor levels. I was wondering if comparing those two

I would like to buy a basic statistics book (experimental design, sampling, ANOVA, regression, etc.) with examples in R. Or download it in PDF or html format. I went to the CRAN contributed documentation, but there were only R textbooks, that is, textbooks where R is the focus, not the statistics. And I would like to find the opposite. Other text I am trying to find is multivariate data