Mathematics, Statistics & Computer Science Department
Recommend Documents
Mathematics, Statistics & Computer Science Department. COURSE NO ...
Computer Graphics w/Open GL, 3rd Ed. by Hearn/Baker (adopted 8/06); and.
Open GL ...
COURSE DESCRIPTION: Basic concepts in computer systems including
computer structure, ... TEXTBOOK: Assembly Language for Intel-Based
Computers, 4 th.
STAT-332 (354-332) Probability & Mathematical Statistics II. CREDIT: 3 ... (Prior
to Fall 01: Probability & Statistical Inference, 5 th. Ed., by Hogg & Tanis). (Prior to
...
STAT-331 (354-331) Probability & Mathematical Statistics I. CREDIT: 3 ... (Prior to
Fall 97: Mathematical Statistics & Data Analysis, 2nd Ed., by Rice). (Prior to ...
I (Zinnowitz, 1974), Part 2 (Greifswald), Ernst-Moritz-Arndt Unov., 1978, pp. 257 283. [17] L. G. Oversteegen and E. D. Tymchatyn, On span and weakly chainable ...
Covariant Logic of Domains: Domains are represented as sets of theories, ..... Thus continuous functions above are good candidates to serve as models of ... The elementary covariant logical approach to domains is known under the name of ...
Discrete Mathematics. Introduction. Saad Mneimneh. 1 Introduction. College
mathematics will often focus on calculus, and while it is true that cal- culus is the ...
Cullowhee, North Carolina (USA) .... Stallings. Resources tied to one of these texts are likely to be well received, .... William Stallings, Computer Organization.
M. Morris Mano. Greg W. Scragg .... Morris Mano, Computer System Architecture. 3 ra Edition ..... Described in Hennessy and Pattersons Book, Computer Architecture: A. Qualitative .... often taught in a separate digital logic design class.
CS 250: Software Engineering ... http://www.cs.clarku.edu/~jmagee/cs250/ ...
Code Complete: A Practical Handbook of Software Construction (2nd Edition).
Introduction to Mathematical Statistics, Robert V. Hogg, Joseph W. McKean, and
Allen T. Craig. The first of these books assumes a stronger familiarity with ...
the roots of the subjects today known as automated deduction and artificial intelligence.1 ... In 1956, Herb Simon, one
This dissertation, directed and approved by Michael A. Bukatin's Committee, has been ... va, Yuri Matiyasevich, Steve Matthews, Albert Meyer, Michael Mislove, ...
Department of Mathematics and Computer Science,. SUNY at ... deadlock to
occur and discuss if these conditions are actually present in this scenario or not.
The mechanization of mathematics refers to the use of computers to find, or to help ...... Notes in Computer Science 475
460050 â Business Teacher License/Career Focus Credit ... opportunity to explore the uses of mathematics and computer
What are the challenges for the classroom teacher? .... difficult for pupils to articulate their reasoning, but as technology allows more of the computational.
Technical Report. TR-2009-024. Analysis and Optimization of Robin-Robin partitioned procedures in ...... particular, we point out that limâtâ0. ÏS/S = Ïf /(kÏsHs).
penalty method applied to equality constrained least squares problems. In practice, for large ...... [291, 314, 315, 335, 350, 363, 391, 399, 417, 418, 419, 491].
Mathematics for Computer Science revised Wednesday 8th September, 2010, 00
:40. Eric Lehman. Google Inc. F Thomson Leighton. Department of Mathematics ...
the previously proposed computational hypergraph models and are not meant to ..... block-diagonal form, SIAM Journal on Scientific Computing, 25 (2004), pp.
Sep 7, 2013 - 1.2 Propositional Logic in Computer Programs. 10. 1.3 Predicates ... 6.3 Communication Networks 196. 7 Rel
2- Probability and Mathematical Inference. Hogg and Ta- nis, 8th Edition, 2009,
Prentice Hall. 3- Introduction to Mathematical Statistics. Hogg, Craig and McKean
...
2. Deadline. The complete application, including a cover letter, curriculum vitæ,
copies of publications, a ... Applications may also be submitted to MathJobs.org.
Mathematics, Statistics & Computer Science Department
STAT-332 (354-332) Probability & Mathematical Statistics II. CREDIT: 3 ...
TEXTBOOK: Intro to Mathematical Statistics & Its Applications, 4th Ed., by Marx (
F07).
Mathematics, Statistics & Computer Science
University of Wisconsin-Stout Jarvis Hall Science Wing 231 Menomonie, WI 54751-0790
COURSE NUMBER/TITLE: STAT-332 [354-332] Probability & Mathematical Statistics II CREDITS:
3
COURSE DESCRIPTION:
Point estimation. Properties of point estimators: unbiasedness, efficiency, consistency, sufficiency. The method of maximum likelihood. Basic concepts of interval estimation and hypothesis testing. Inference in onesample and two-sample problems. Simple linear regression analysis; the method of least squares. Goodness-of-fit tests. Analysis of categorical data. Prerequisite: STAT-331 Probability & Mathematical Statistics I.
TEXTBOOK:
Introduction to Mathematical Statistics & Its Applications, 5th Ed. by Marx (adopted Fall 2011) Previous: Introduction to Mathematical Statistics & Its Applications, 4th Ed., by Marx (adopted F07; 3rd Ed. adopted F01) Probability & Statistical Inference, 5th Ed., by Hogg & Tanis (adopted F01) Mathematical Statistics & Data Analysis, 2nd Ed., by Rice (adopted F97) Introduction to Mathematic Statistics, 2nd Ed., by Larsen (adopted F95)
COURSE OBJECTIVES: The course will enable students to: 1. Appreciate the importance of statistical inference in science and technology. 2. Apply the methods of statistical inference: estimation and hypothesis testing. 3. Demonstrate skills by problem solving and the writing of clear, complete, logically correct solutions. 4. Use a statistical computing package such as SPSS or STATGRAPHICS. COURSE OUTLINE: 1. Estimation A. Concepts of Point Estimation B. Properties of Estimators C. Minimum Variance Estimators D. The Method of Maximum Likelihood & The Method of Moments E. Interval Estimation 2. Hypothesis Testing A. Concepts of Hypothesis Testing B. Optimal Tests 3. One-Sample Problems A. Inference About the Mean & Variance in a Normal Distribution B. The Central Limit Theorem C. Inference About a Proportion 4. Two-Sample Problems A. The Two-Sample t-test for Equality of Means B. The F-test for Equality of Variance
5.
6.
C. The Two-Sample Test for Equality of Proportions D. Confidence Intervals for the Two-Sample Problem Simple Linear Regression Analysis A. The Method of Least Squares B. Inferences for the Regression Parameters Introduction to some or all of the following topics (as time permits): A. Goodness-of-Fit Tests B. Analysis of Categorical Data C. Analysis of Variance D. Nonparametric Inference E. Bayesian Inference
