Statistics
Based on the authors lecture notes, this student-oriented, selfcontained book maintains a proper balance between the clarity and
rigor of exposition. In a few cases, the authors present a sketched
version of a proof, explaining its main ideas r
W4107 Statistical Inference
Midterm Exam Summer 2016
July 28
Please show your work in all the problems to get full credit.
Time: 90 min
Name:
UNI:
1. Suppose X1 , X2 , ., Xn is a random sample from the pdf f (x|) = x1 I(0,1) (x), with > 0 an
unknown par
Introduction to Statistical Inference
Statistics W4107 Spring 2016
Assignment 1
Reading:
By Tuesday, January 19, read Sections 5.15.5 of Casella & Berger, and/or Appendix A and
Sections 5.35.5 of Abramovich & Ritov.
For Tuesday, January 26, read Sections
Linear Algebra Review
Yang Feng
http:/www.stat.columbia.edu/~yangfeng
Yang Feng (Columbia University)
Linear Algebra Review
1 / 45
Denition of Matrix
Rectangular array of elements arranged in rows and columns
16000 23
33000 47
21000 35
A matrix has dimens
Zhe Li(zl2421)
Inference HW9
1.Draw a scatterplot of the data;
2.Fit a simple regression model to the data;
> lm(velo~gluc)
Call:
lm(formula = velo ~ gluc)
Coefficients:
(Intercept)
1.09781
gluc
0.02196
The model is velocity = 1.09781 + 0.02196*glucose
3.
Stat 4107 Introduction to Statistical Inference
Spring 2015
Course Syllabus
1. Data, Models and Inference
2. Probability Theory Review
a. Probability Models
b. Random Variables
c. Conditional Probability and Independence
d. Central Limit Theorem
e. Expone
W4107 Statistical Inference
Final Exam Summer 2016
August 11
Please show your work in all the problems to get full credit.
Time: 90 min
Name:
UNI:
1. Suppose X1 , X2 , ., Xn is a random sample from the uniform (0, ) distribution. We are interested in
te
Introduction to Statistical Inference
Statistics W4107 Spring 2016
Assignment 2
Reading:
By Thursday, January 28: Read Sections 5.15.5 and 6.16.3 of Casella & Berger; and/or
Appendix A, Sections 5.35.5, and Chapter 1 of Abramovich & Ritov.
For Thursday, F