- Midterm 1 Exam Solution STAT 211-507 (Type A) Spring 2011 1. (D) (#B-5, #C-10)
- STAT 211-507 TR 12:45 -2:00 PM, BLOC 150 Instructor: Dr. Mikyoung Jun
- Review question Suppose a local television station sells 15 second, 30 second and 60
- Midterm 1 Exam STAT 211 Section 507 (Type A) October 7, 2010 Instructor: Mikyoung Jun
- Midterm 1 and 2 results Midterm 1 Midterm 2
- Random sample The rvs X1, , Xn are called a random sample of size n if
- Three cases for tests about a population Case 1: normal population with known
- What we will learn for the rest of the Topic 10: Simple Linear Regression
- Discussion on Statistical Methods for Multivariate Spatial and
- A test for stationarity of spatio-temporal random fields on planar and spherical Mikyoung Jun and Marc G. Genton1
- Tellus (2008), 60A, 9921000 C 2008 The Authors Journal compilation C 2008 Blackwell Munksgaard
- The Annals of Applied Statistics 2008, Vol. 2, No. 4, 12711289
- STAT 211-507 TR 2:20 -3:35 PM, BLOC 150 Instructor: Dr. Mikyoung Jun
- Generated using version 3.0 of the official AMS LATEX template A statistical investigation of the sensitivity of ensemble based
- Spatial Analysis to Quantify Numerical Model Bias and Dependence: How Many Climate Models Are There?
- Atmospheric Environment 38 (2004) 44274436 Statistical comparison of observed and CMAQ modeled daily
- What we have done in Topic 8 Comparison of two population
- Review question A survey takes a simple random sample of 500 people from a town of
- What we have done in Topics 3 & 4 Topic 3: discrete random variable
- What was in the last lecture? Normal distribution
- Review question I Suppose each component works independently in the following device.
- What's for today We've studied Topic 1 last week.
- What we did last time What is statistics?
- Stat 211 Section 507 Dr. Mikyoung Jun
- Midterm 2 Exam Solution STAT 211-507 (Type A) Spring 2011 1. (E) (#B-2, #C-2)
- Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. An Approach to Producing Space-Time Covariance Functions on Spheres
- Review: continuous random variables The actual tracking weight of a stereo cartridge that is set to track
- Simple Linear Regression Model Model equation: y = 0 + 1x +
- Review question Suppose we wonder how much (in dollars) on average a single,
- What we did last time regarding Topic 2 Sample spaces and Events
- What we did last time What is statistics?
- Matern covariance function A class of autocovariance functions that are flexible and commonly
- Review question I Suppose each component works independently in the following device.
- What's for today What we've done last week is Topic 1.
- Parametric modeling of variogram There are several ways of estimating parametric models for the empirical
- What is the variogram? Let us consider a stationary (or isotropic) random field Z with a
- What we did last time regarding Topic 2 Sample spaces and Events
- Stat 211 Section 507 Dr. Mikyoung Jun
- Midterm 2 Exam STAT 211 Section 507 (Type A) November 4, 2010 Instructor: Mikyoung Jun
- What's for today More on Binomial distribution
- Review question on Topic 3 Question: What is the probability that the world series will last 4
- Stochastic Process and Random Fields A stochastic process is a family or collection of random variables and
- Stat 211 Section 507 Dr. Mikyoung Jun
- STAT 647 Spatial Statistics TR 2:20 -3:35pm, BLOC 163 Instructor: Dr. Mikyoung Jun
- Stat 647: Spatial Statistics Dr. Mikyoung Jun
- STAT 211-507 TR 11:10 AM -12:25 PM, BLOC 150 Instructor: Dr. Mikyoung Jun
- What's for today Examples of parametric covariance functions
- Journal of the Korean Statistical Society ( ) Contents lists available at ScienceDirect
- Another measure of variability: IQR (interquartile range) or fourth spread, that is, Q3 -Q1
- What's for today Random Fields
- What's for today We've studied Topic 1 so far.
- What we did last time regarding Topic 2 Sample spaces and Events
- The Annals of Applied Statistics 2011, Vol. 5, No. 4, 25192548
- Spatial Analysis to Quantify Numerical Model Bias and Dependence: How Many Climate Models Are There?
- Journal of the Korean Statistical Society 41 (2012) 115135 Contents lists available at SciVerse ScienceDirect