Pawel, Thanks ever so much, that definitely helps! Having said that, it would be great if you could send me an electronical version of the paper, considering the photocopy I got hold of was of so poor quality. Also, I gather you have a certain familiarity with the topic, so may I ask in passing what you think about Arnold's test? I am a bit concerned that it might be out dated, but I find it conceptually easy to understand and share with non-statisticians. Thanks again for your help Kind Regards Sandra
Sandra Alba University Medicine - Level 7 Derriford Hospital Plymouth PL6 8DH UK > -----Original Message----- > From: Classification, clustering, and phylogeny estimation [SMTP:[EMAIL PROTECTED] > On Behalf Of Pawel P. Baran > Sent: 16 March 2004 13:56 > To: [EMAIL PROTECTED] > Subject: Re: Arnold's Test for Clusters > > > > I have a not very statistical query regarding the paper "A test for > Clusters" published in 1979 (Journal of Marketing Research, vol XVI, > november 1979, 545-51). I would like to apply Arnold's test to my data. I > have finally got hold of a copy of the paper, but it is the fudgiest paper > ever! Typically, the most incomprehensible part is the end of page 548, > where the two key functions are given. This is what I can recover (? > indicate values which I cannot read): > > > > > > C(unimodal)= [e^(0.?6???)*g^(0.???42)*p^(0.21011)*a^(0.13??)]/N^(0.2972) > > > C(uniform)=[e^(0.?????)*g^(0.89510)*p^(0.138??)*a^(0.163??)]/N^(0.236) > > I hope this would help: > > C(unimodal)= [e^(0.06239)*g^(0.95242)*p^(0.21011)*a^(0.13389)]/N^(0.29723) > C(uniform)=[e^(0.08664)*g^(0.89510)*p^(0.13896)*a^(0.16356)]/N^(0.23672) > > Please let me know if you want the whole paper emailed (~700kb). > > Pawel > > -- > This email has been electronically scanned using > DynaComm i:mail filtering software. > > If you have any questions please email > [EMAIL PROTECTED] > > Tony Daniel > Sam Shayer > Information Security Team >
