- Introduction to R I. Using R for Statistical Tables and Plotting Distributions
- Linear Models I April 22, 2008
- Random Variables and Distribution Functions September 9, 2009
- Topic 6: Conditional Probability and Independence February 10, 2011
- Modeling Populations of Flour Beetles S. Robertson
- Probability Theory December 12, 2006
- Topic 5: Basics of Probability February 3-8, 2011
- Bivariate Transformations October 29, 2009
- Maximum Likelihood Estimation February 14, 2008
- Bayes Estimation February 26-28, 2008
- Mathematics 363 -Exam II April 27, 2009
- Families of Continuous Distributions October 6, 2009
- Worksheet I Mathematics 505d
- Assignment 1 A Sample R Session
- Predicting Individual Bacterium Cell Growth Behavior from Population Information We explore the kinetics of bacterial cells to predict the dependency of growth and division rates on cell length and
- Exponential Families of Random Variables October, 2009
- Method of Moments February 19, 2008
- Topic 18: Composite Hypotheses April 14, 2011
- Topic 2: Describing Distributions with Numbers January 20, 2011
- April 3-8, 2008 Again, we begin with independent normal observations X1. . . . , Xn with unknown mean and unknown
- Assignment 6 -Goodness of Fit and Analysis of Variance Math 363 -May 10, 2011
- Topic 5: Basics of Probability June 13, 2011
- Moments and Generating Functions September 24 and 29, 2009
- Review of Probability Theory I January 22-24, 2008
- Convergence Time to the Ewens Sampling Formula Joseph C. Watkins
- Normal Distributions November 18, 2008
- Mathematics 363 -Introduction to Statistical Methodology Exam I -October 22, 2009
- Testing Hypotheses March 11-13, 2008
- Assignment 3 Probability
- Microsatellite Evolution: Markov Transition Functions for a Suite of Models
- Topic 3: Correlation and Regression January 25-27, 2010
- A duality identity between a model of bacterial recombination and the Wright-Fisher diffusion
- Uniformly Most Powerful Tests March 25, 2008
- Basic Principles of Statistics February 5-7 , 2008
- Topic 19: Extensions on the Likelihood Ratio April 19, 2010
- Topic 14: Unbiased Estimation March 29, 2011
- Math 466 -Practice Problems for Exam 2 1. Suppose that X1, . . . , Xn for a random sample from a uniform distri-
- Stochastic Processes in Continuous Time Joseph C. Watkins
- Theory of Statistics 1 Overview 3
- Topic 1: Displaying Categorical Data June 6, 2011
- doi: 10.1098/rsbl.2010.1056 published online 22 December 2010Biol. Lett.
- Topic 2: Displaying Quantitative Data June 8, 2011
- Introduction to Excel I Mathematics 505d
- Topic 4 -Producing Data February 1, 2011
- Introduction to Calculator I Mathematics 505d
- Topic 1: Displaying Data Jaunuary 18, 2011
- Topic 8: Expected Values February 22, 2011
- Topic 10: The Law of Large Numbers March, 2011
- Topic 11: The Central Limit Theorem March 3 and 10, 2010
- Topic 12: Overview of Estimation March, 2011
- Topic 15: Maximum Likelihood Estimation April, 2011
- Topic 17: Simple Hypotheses April 12, 2010
- Topic 20: t Procedures April 21, 2011
- Topic 21: Goodness of Fit April 28, 2010
- Topic 22: Analysis of Variance May 3, 2011
- Assignment 2 Organizing and Producing Data
- simpleR Using R for Introductory Statistics John Verzani
- Coretention of Words and Genes on the Island of Sumba, Eastern Indonesia
- Fitting Force-dependent Kinetic Models to Single-Molecule Dwell Time Records Micromanipulation techniques such as optical tweezers and atomic force microscopy allow us to identify and
- Writing Lab Reports To prepare your lab report, distill your investigations into a central argument. Then
- Basics of Probability August 27 and September 1, 2009
- Basics Principles of Counting September 1, 2009
- Conditional Probability and Independence September 3, 2009
- Mass Functions and Density Functions September 11, 2009
- Transformations of Random Variables September, 2009
- Expectation of Random Variables September 17 and 22, 2009
- Families of Discrete Distributions October 1, 2009
- Probability Inequalities October, 2009
- Random Samples November 5, 2009
- Order Statistics November 25, 2008
- Convergence Concepts November 17, 2009
- The Central Limit Theorem November 19, 2009
- Simulating Random Variables December 1, 2009
- Review of Probability Theory II January 29-31, 2008
- Unbiased Estimation February 7-12, 2008
- Problem Set 1 due February 5, 2008
- Math 466 -Practice Problems for Exam I 1. A random variable X is uniformly distributed between 0 and 1 if the pdf
- Composite Hypotheses March 25-27, 2008
- Likelihood Ratio Tests April 3, 2008
- Simulation Approaches April 29, 2008
- Linear Models II May 1-6, 2008
- Mathematics 363 -Exam II April 27, 2009
- Topic 7: Random Variables and Distribution Functions February 15, 2011
- Assignment 4 Law of Large Numbers & Central Limit Theorem
- Estimation and Confidence Intervals Math 363 -April 21, 2011
- Introduction to Excel II Mathematics 505d
- Goodness of Fit April 10, 2008
- Topic 16: Interval Estimation April 6, 2011
- Covariance and Correlation November, 2009
- Sufficient Statistics February 21, 2008
- Discrete Time Stochastic Processes Joseph C. Watkins
- Independence and Conditional Distributions October 22, 2009
- Topic 13: Method of Moments March, 2011
- U.S. Department of Commerce Economics and Statistics Administration U.S. CENSUS BUREAU 2010 Census: Arizona Profile
- Estimation and Confidence Intervals Math 363 -November 29, 2011
- DOI: 10.1126/science.284.5415.765 , 765 (1999);284Science
- Writing Lab Reports To prepare your lab report, distill your investigations into a central argument. Then
- Introduction to Statistical Methodology Joseph C. Watkins
- Division accuracy in a stochastic model of Min oscillations in Escherichia coli
- Basics of Probability 5.1 Introduction
- Conditional Probability and Independence One of the most important concepts in the theory of probability is based on the question: How do we modify the
- Random Variables and Distribution 7.1 Introduction
- The Central Limit Theorem 11.1 Introduction
- Describing Distributions with Numbers We first look at quantitative data. Recall that in this case, these data can be subject to the operations of arithmetic.
- Assignment 3 Probability
- Producing Data Our health care is too costly; our schools fail too many; and each day brings further evidence that the
- Assignment 2 Organizing and Producing Data
- Overview of Estimation 12.1 Introduction
- Displaying Data Statistics is a mathematical science that is concerned with the collection, analysis, interpretation or explanation, and
- Correlation and Regression In this section, we shall take a careful look at the nature of linear relationships found in the data used to construct a
- The Expected Value Among the simplest summaries of quantitative data is the sample mean. Given a random variable, the corresponding
- The Law of Large Numbers 10.1 Introduction