STAT 285 Lecture 9
Sept 26, 2011
HW 3 is due today
Material to be covered today: IV. Hypotheses Testing Based on a Single Sample (Chp 8) IV.1 Introduction and Basic Concepts IV.2 Tests about Population Mean IV.3 Large Sample Tests IV.4 Discussions
IV. Tes
STAT 285 Lecture 8 Clarification Typo in Example 3.4: not (
(n-1)S 2 , 2 (n-1) /2
Sept 23, 2011
(n-1)S 2 (n-1)S 2 (n-1)S 2 ) but ( 2 (n-1) , 2 (n-1) ) 2 1-/2 (n-1) /2 1-/2
was used to obtain (76172.3, 318064.4), a CI of 2. Z1- = z: Z1- is used in the prev
STAT 285 Lecture 7
Sept 21, 2011
Assignment of HW 3 : given in Lecture 6
Material to be covered today: III. Interval Estimation (Chp 7) III.1 Some General Concepts III.2 Confidence Intervals with Normal Population III.3 Approximate Confidence Intervals
Re
STAT 285 Lecture 6
Sept 19, 2011
Assignment of HW 2 : due today
Assignment of HW 3 : to be given today
Material to be covered today: III. Interval Estimation (Chp 7) III.1 Some general concepts
Review: II.2 Methods of Point Estimation (Chp 6.2) Goal: Supp
STAT 285 Lecture 5
Sept 16, 2011
Assignment of HW 2 : due on Monday Sept 19
Material to be covered today: II.2 Methods of Point Estimation II.2.1 The Method of Moments (MM) II.2.2 Maximum Likelihood Estimation (MLE)
Review: II.2 Methods of Point Estimatio
STAT 285 Lecture 4
Sept 14, 2011
Assignment of HW 2 : given by Lecture 3
Material to be covered today: II. Point Estimation (Chp 6) II.1 Some general concepts II.2 Methods of Point Estimation II.2.1 The Method of Moments (MM) II.2.2 Maximum Likelihood Est
STAT 285 Lecture 3
Sept 12, 2011
Assignment of HW 1 : it's due today 5:00pm.
Material to be covered today: II. Point Estimation (Chp 6) II.1 Some general concepts A. What does point estimation do? B. Criteria for selecting a good estimator
II. Point Estim
STAT 285 Lecture 1
Sept 7, 2011
Class Organization: syllabus I. Preliminaries: introduction, review
STAT 285: Intermediate Probability and Statistics (Fall, 2011) Lecture MWF 12:30pm - 1:20pm RCB8100 (Sep 6 - Dec 5, 2011) Instructor: X. Joan Hu, SSC K105
STAT 285 Lectures 20 and 21 Oct 26 and 28, 2011 Review: VII. Introduction to Regression Analysis VII.1 Introduction (Why and What?) VII.2 Simple Linear Regression VII.2.1 modeling goal. to establish how r.v. Y depends on a variable X linearly: Y = 0 + 1X
STAT 285 Lecture 22
Oct 31, 2011
Review: VII. Introduction to Regression VII.1 Introduction (Why and What?) VII.2 Simple Linear Regression VII.2.1 modeling Goal. to establish how r.v. Y depends on a variable X linearly: Y = 0 + 1X + with E( ) = 0 and V (
STAT 285 Lecture 19 Review: VI.4 Further Topics on ANOVA VI.4.1 Multi-factor ANOVA
Oct 24, 2011
For example, a study on how adult body weights relate to (A) gender (F,M), (B) age (Y,M,O) and (C) education (LH, H, U, PU) = a 3-factor study: I = 2, J = 3 an
STAT 285 Lecture 18 Review: VI.3 Two-Factor ANOVA Setting.
Oct 21, 2011
(i) A study is concerned with two factors A, B with I, J levels, to answer whether the outcomes are closely associated with the factors, jointly or individually. (ii) Observations: kt
STAT 285 Lecture 17 Review: VI.2 One-Factor ANOVA (Chp10) VI.2.1 One-Factor ANOVA Setting.
Oct 19, 2011
(i) A study is concerned with one factor with I levels, to answer whether the outcomes are closely associated with the factor. (ii) Observations: jth o
STAT 285 Lecture 16 Review:
Oct 17, 2011
VI. Introduction to Analysis of Variance (ANOVA, Chp 10-11) VI.1 Introduction multiple comparisons (multiple-sample problems) why ANOVA? VI.2 One-Factor ANOVA (Chp10) to compare several populations, viewing them as
STAT 285 Lecture 15 Review: Topics II-V (Chp 6-9) material.
Oct 12, 2011
estimation (point and interval) and hypothesis testing on population parameter(s) with random samples from the population(s). why to study it? basic in statistics in general; essenti
STAT 285 Lecture 14
Oct 7, 2011
V.3 Concerning Population Variances with Normal Populations Setup.
2 2 Formulation: X N (X , X ), Y N (Y , Y ) and
XY Data: Available a random sample from each of the two populations: X1, . . . , Xm and Y1, . . . , Yn
2 2 H
STAT 285 Lecture 13
Oct 5, 2011
Review: V.1 Concerning Population Means with Normal Populations
2 X N (X , X ); 2 Y N (Y , Y )
H0 : X - Y = 0 vs H1 (one of the three types) V.1.1 Two independent populations Case A. with known variances Test statistic. Und
STAT 285 Lecture 27 VIII.2 Time Series Models
Nov 18, 2011
Consider a time series cfw_Yt : t 0 with t, t > 0 white noise (iid and E( t) = 0, V ( t) = 2) VIII.2.1 Auto-regressive Models. AR(p): (1 -
p i=1
iB i)Yt = c +
t
VIII.2.2 Moving-average Models. MA(
STAT 285 Lecture 26
Nov 14, 2011
VIII.2 Time Series Models (on stationary series) VIII.2.1 Auto-regressive Models: Yt = c + 1Yt-1 + . . . + pYt-p + with
t
t
: t > 0 white noise (iid and E( t) = 0, V ( t) =
2), denoted by AR(p) (AR model of order p). Anot
STAT 285 Lecture 26
Nov 14, 2011
VIII. Introduction to Time Series (Outline) VIII.1 Basic Concepts stochastic process time series, stationarity, autocorrelation, white noise, detrending VIII.2 Time Series Models AR(p), MA(q), ARMA(p,q), ARIMA(p,d,q) VIII.
STAT 285 Lecture 25
Nov 9, 2011
Review: VII.3 Advanced Topics in Regression VII.3.4 Discussion What does a regression analysis do? Variable selection, model selection in regression analysis What if E(Y |X) is not specified into a linear form, or a paramet
STAT 285 Lecture 24
Nov 4, 2011
Review: VII.3.1 Multiple linear regression Given data from n indpt units: cfw_(Yi, X1i, . . . , XKi) : i = 1, . . . , n Yi = 0 + 1X1i + . . . + K XKi +
i i
indpt(!), E( i) = 0, V ( i) = 2(!). (a) Estm of 0, . . . , K : ^ ^
STAT 285 Lecture 23 Midterm 2:
Nov 2, 2011
November 9, Wednesday 12:30-1:20pm. Open-book test. Focus on the topics covered in the classes about ANOVA and Regression Analysis (textbook Chps 10, 11, 12 and 13). Some material studied before Midterm 1 will b
REM 356 Fall 2011
Instructions for Term Paper
The term paper is meant to be a presentation and analysis of a specific institutional arrangement in Canadian resource and environmental management. The term paper consists of 4 main components: 1. Identify a
Term Paper 356 1. Resource Management Problem or Issue a. Problem=Objective + Obstacles b. Looking from an institutions perspective c. Scoping 2. Stats Quo How is the problem currently handled a. Evaluate if status quo is reaching the objective b. Current
Institutional Arrangements for Sustainable Environmental Management
REM 356: Lecture 6
Part 1: Environmental Impact Assessment
Part 2: Quiz Discussion
1
Last time.
4 Types of policy instruments Externalities Planning Criteria for choosing policy instrum
Institutional Arrangements for Sustainable Environmental Management
REM 356: Lecture 3
Part 1: Policy Instruments
Part 2: LandUse Planning
1
Revised Couse Schedule on WebCT
Last time.
Excludability versus subtractability 4 types of goods Property rights