Graphical Methods in Statistics

Yoav Benjamini
Department of Statistics and Operations Research
972-3-6408756 (voice)
972-3-6409357 (fax)
ybenja@post.tau.ac.il
Office Hours: Monday 13-14, or by appointment via email.

Special announcements:

Note new Targil 4 below

Lecture Hours:

Thurseday 12-15 Schrieber 08

Reading material:

Copies of slides
presented at class will be available at this homepage
Graphical Methods for Data Analysis
by Chambers, J.M., Cleveland, W.S., Kliener B., Tukey, P.A., Duxbury Press.
Understanding Robust and Exploratory Data Analysis
by Hoaglin, Mosteller, Tukey (UREDA).
Exploring Data Tables Trends and Shapes
by Hoaglin, Mosteller, Tukey (HMT2).

Computing:

The statistical software we shall use is Splus. The level needed is that taught at Introduction to Statistics Course Tutorial material is available in the following documents (which can also be printed).

Notes on S: A programming environment for Data Analysis and Graphics Splus by Venables and Smith.
Introductory Guide to Splus by Ripley.

Other books on S and Splus which we shall use are:

S-plus Guide

The New S Language

Topics:

Introduction ( PowerPoint Presentation )
Describing a single batch of unidimensional data ( PowerPoint Presentation )
Describing multiple batches of unidimensional data ( PowerPoint Presentation )
Describing two-dimensional data ( PowerPoint Presentation ) ( example for computing biweight in the course of calculating lowess)
Graphical methods for assessing distributional assumptions ( PowerPoint Presentation )
Describing three dimensional data
Describing highly multivariate data
Projection persuit
Scientific visualization in general

Please keep on looking at this list as the course progresses. Some of these will be activated later, and by clicking on them further information, material, etc. will be available.

Requirements:

Six homework sets will be assigned and graded. They will carry increasing weight as the course progresses, and together constitute 30-40% of the final grade. The rest is determined by a final openbook exam.

Targilim:

Targil 3 : Indidividual data sets are available: 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 .
Targil 4 .

Graphical Methods in Statistics

Special announcements:

Lecture Hours:

Reading material:

Copies of slides

Graphical Methods for Data Analysis

Understanding Robust and Exploratory Data Analysis