CH 15. Multiple Logistic Regression
Multiple logistic regression
Logistic regression is a method for fitting a regression curve, y = f(x), when y is a categorical
variable. The typical use of this model is predicting y given a set of predictors x. The pre
Mathematical Statistics Ch4,5 Review
PROBLEM: Let X1,.X n ~ Unif (! , 0), ! > 0.
A. Find an unbiased estimator for based on Yn = min(X1,.X n ) . Call this estimator !1 .
B. Find a consistent estimator for based on the weak law of large num
STAT 410/510 HW 3 Due by 10/24 Monday
1. Consider the least squares estimator b ( XX) 1 XY . Using matrix method, show that b
is an unbiased estimator. This is problem 5.29 on page 212.
2. Obtain an expression for the variance-covariance matrix of the fit