XLStat - Models for binary response data (Logit, Probit)
These models are of high interest for people doing medical tests, epidemiological or social research, pharmaceutical and agricultural experiments, quantitative marketing, and various other fields. Logit, Probit and derived models are useful to model binary responses with categorical and numerical explanatory variables.
Home | Order |
Stats Software | Accent Composer | QDA Miner
Stats Books | Stats Links | Delphi Book | Anglesey
Stats Books | Stats Links | Delphi Book | Anglesey
Copyright © 2008 Kovach Computing Services, Anglesey, Wales. All Rights Reserved. Portions copyright Addinsoft, Provalis Research, and Data Description Inc.
Last modified 25 January, 2008