Probit regression is very similar to logistic regression and the two techniques typically give similar results. Probit regression tends to be used most often with finance and economics data, but both ...
This is a preview. Log in through your library . Abstract Quantal bioassay experiments relate the amount or potency of some compound; for example, poison, antibody, or drug to a binary outcome such as ...
• Background and Aims Most current thermal-germination models are parameterized with subpopulation-specific rate data, interpolated from cumulative-germination-response curves. The purpose of this ...
This paper studies the determinants for the desirability of the public-private partnership (PPP) mode in infrastructure development. Design/methodology/approach – The author manually collects data on ...
Credit Suisse predicts a one-third chance of recession in the next six months. That has actually fallen from 38% in July, but remains close to its highest level since 2009. Sliding PMIs in the ...
Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...
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