- Computational Statistics and Data Analysis 53 (2009) 28512858 Contents lists available at ScienceDirect
- ORIGINAL ARTICLE Quantification of net primary production of Chinese
- This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and
- Loglinear Residual Tests of Moran's I Autocorrelation and their Applications to
- IMS Lecture NotesMonograph Series Recent Developments in Nonparametric Inference and Probability
- Acta Tropica 91 (2004) 279289 A method for testing low-value spatial clustering for rare diseases
- [Setting Confidence Intervals for Bounded Parameters]: Comment Michael Woodroofe; Tonglin Zhang
- QUALIFYING EXAM SOLUTIONS STATISTICAL THEORY: Saturday, Jan 6, 2007, 8:00 am -12:00 pm
- QUALIFYING EXAM SOLUTIONS STATISTICAL THEORY: Saturday, Aug 12, 2006, 8:00 am -12:00 pm
- Qualifying Exam Statistical Theory Problem Solutions August 2005
- Exponential Family Suppose Y1, , Yn are independent random
- Overdispersion For binomial or Poisson distribution, the variance is determined if the expected value is known.
- Sections 2.1 and 2.2. Section 1 introduces the following concepts.
- Section 3.4: The Binomial Probability Distribution
- Section 5.1: Joint Distribution of Random Variables (Only Discrete Case)
- Section 5.4: The Distribution of the Sample Suppose X1, X2, , Xn are identically independently
- Section 5.5: The Distribution of a Linear Combination
- Section 9.1: z-test and Confidence Interval for a Difference Between Two Population Means
- Section 9.4: Inference Concerning a Difference Between Population Proportions
- Solution # 2, Stat 511 1. Problem 2.12.
- Solution # 3, Stat 511 1. Problem 2.27.
- Solution # 5, Stat 511 1. Problem 3.28(version 6) or 3.29(version 7).
- Solution # 6, Stat 511 1. Problem 4.26(version 6) or Problem 4.28(version 7).
- Homework # 8, Stat 511 1. Problem 5.48.
- Homework # 9, Stat 511, Spring 2009 1. Problem 7.4.
- Homework # 10, Stat 511, Spring 2009 1. Problem 9.3. Because m = n = 45 are large, we can use the large sample case. The level 0.05 test
- Statistical Methods (STAT 511) Midterm #2, Fall 2009
- Review of Probability and Distributions Notation. We will use the following notations
- Order Statistics Let X1, , Xn be iid continous random variables with common PDF f(x) and CDF F(x).
- Chapter 6: Maximum Likelihood Methods 6.1 Maximum Likelihood Estimation
- Solution to Homework # 3, Stat 517 V (Y ) = V (3X2 -X1) = 9V (X2) + V (X1) = 18 + k.
- Solution to Homework # 7, Stat 517 Solution: The loglikelihood function is
- Solution to Homework # 8, Stat 517 (a) The likelihood function is
- Statistical Inference (STAT 517) Midterm Fall 2010
- Statistical Methods (STAT 511) Midterm #2, Spring 2011
- Survival Analysis December 11, 2008
- Solutions to Methods in Spring 2007, Jan 4 2007, 8:00-12:00 1. Here we assume ni Poisson(xi). Then, the MLE of is
- Section 3.3: Expected value of Discrete Random Section 3.3 introduces the following concepts and
- Solution to Homework # 9, Stat 517 Solution: The likelihood function is
- Solution to Homework # 1, Stat 517 Solution: The PMF of X1 is
- A Supplemental Indicator of High-Value or Low-Value Spatial Clustering
- Statistical Methods (STAT 511) Midterm #1, Fall 2009
- Section 9.2: The Two-sample t Test and Confidence Interval
- QUALIFYING EXAM SOLUTIONS Statistical Methods
- Section 7.1: Basic Properties of Confidence Let x1, , xn be observations.
- Statistical Methods (STAT 511) Midterm #1, Spring 2011
- arXiv:math.ST/0611671v122Nov2006 IMS Lecture NotesMonograph Series
- Section 4.3: The Normal Distribution Section 4.3 has the following concepts
- Section 2.5: Independence
- Chapter 7: Sufficiency 7.1 Measures of Quality of Estimators
- Section 2.4: Conditional Probability
- Identification of Local Clusters for Count Data: A Model-Based Moran's I Test
- Statistics and Probability Letters 78 (2008) 16561661 www.elsevier.com/locate/stapro
- Solution to Homework # 2, Stat 517 Solution: Here we have
- Statistical Methods (STAT 511) Midterm #2, Fall 2009
- Statistical Inference (STAT 517) Midterm Spring 2010
- Section 7.2: Large-Sample Confidence Intervals for a Population Mean and Proportion
- Section 3.1: Random Variable Section 3.1 introduces the following concept re-
- Statistical Inference (STAT 517) Midterm Fall 2010
- This article was downloaded by:[Purdue University] On: 28 September 2007
- Chapter 1: Overview Probability is a subarea of mathematics.
- Chapter 5: Some Elementary Statistical Inferences 5.1 Sampling and Statistics
- Section 2.3: Counting Techniques
- Solution # 7, Stat 511 1. Problem 5.1.
- Solution to Homework # 6, Stat 517 Solution: The power function is
- Solution to Homework # 5, Stat 517 Solution: The 95% confidence interval for is
- Section 3.2: Probability Distributions for Discrete Random Variables
- Solutions to Methods in Fall 2006, Aug 10 2006, 8:00-12:00 1. (a) The loglikelihood function is
- QUALIFYING EXAM SOLUTIONS Statistical Methods
- Solution to Homework # 4, Stat 517 Solution: In this prolem, we have = 50 and 2
- Statistical Methods (STAT 511) Midterm #1, Fall 2009
- Section 9.5: Inferences Concerning Two Population Variances
- Formulae for Confidence Interval and Hypotheses Testing Stat 517, Spring 2011
- Chapter 4: Unbiasedness, Consistency, and Limiting Distributions
- Qualifying Exam Solutions: Theoretical Statistics (a) For the first sampling plan, the expectation of any statistic W(X1, X2, . . . , Xn) is a poly-
- Section 8.1: Hypotheses and Testing Procedure Concepts and Formulae
- QUALIFYING EXAM SOLUTIONS STATISTICAL THEORY
- Section 8.2: Test about a Population Mean Case 1: A Normal Population with known .
- Section 7.3: Interval based on a normal population distribution
- Solution # 2, Stat 511 1. Problem 2.12.
- Building the Regression Model II: Diagnostics In this chapter, we try to develop several method to find whether the model assumptions are
- Building the Regression Model I: Model Selection and Validation Sections 9.1 and 9.2 Overview
- Building the Regression Model III: Remedial Measures After diagnose the model and something was detected, there may needs adjustment for model
- Solution # 3, Stat 511 1. Problem 2.27.
- Review of Normal-Related Distribution The univariate normal distribution. The PDF (probability density function) of a normal
- Solution # 4, Stat 525 1. Problem 8.4
- Solution # 5, Stat 525 1. Problem 9.11.
- Multiple Regression (I) 6.1 Multiple Regression Models
- Regression Models for Quantitative and Qualitative Predictors Sections 8.1 to 8.2: Polynomial and Interaction Effect Regression Models
- Statistical Methods (STAT 511) Midterm #2, Spring 2011
- Notations on a 2 2 Table Variables X and Y take two values each.
- Solution # 6, Stat 525 1. Problem 10.10.
- Multiple Regression (II) Sections 7.1 to 7.4 Extra Sums of Squares and Tests
