# Journal of Statistical Theory and Practice

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 443-451

*Y, X*

_{1},...,

*X*

_{p}, where

*Y*is binary, let

*M*(

*x*

_{1},...,

*x*

_{p}) =

*P*(

*Y*= 1(X

_{1},...

*X*

_{p}) = (

*x*

_{1},...

*x*

_{p})). The article compares four smoothers aimed at estimating

*M*(

*x*

_{1},...,

*x*

_{p}), three of which can be used when

*p*> 1. Evidently there are no published comparisons of smoothers when

*p*> 1 and

*Y*is binary. One of the estimators stems from Hosmer and Lemeshow (1989, 85), which is limited to...

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 452-467

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 566-579

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 402-416

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 501-509

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 492-500

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 510-523

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 383-401

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 468-491

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 536-565

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 580-589

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 524-535

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 428-442

Journal of Statistical Theory and Practice > 2012 > 6 > 3 > 417-427

*T*) may be needed if the underlying question is highly sensitive. This can jeopardize respondent cooperation. In what we call a “three-stage optional randomized response model,” a...