MTHSTAT Mathematical Statistics
This course information produced at 01:00 on 02/17/2018.
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194 First-Year Seminar: (Subtitled). 3 cr. U. Specific topics are announced in the Schedule of Classes each time the class is offered.|Open only to freshman. Students may earn cr in just one L&S First-Year Sem (course numbers 192, 193, 194). Prereq: none.
199 Independent Study. 1-3 cr. U. For further information, consult dept chair.|May be retaken to 6 cr max. Prereq: 2.5 gpa; writ cons instr, dept chair & asst dean for SAS.
215 Elementary Statistical Analysis. 3 cr. U. Elementary probability theory; descriptive statistics; sampling distributions; basic problems of statistical inference including estimation; tests of statistical hypothesis in both one- and two- sample cases.|Prereq: satisfaction of Quantitative Literacy Part A GER.
278 Discrete Probability and Statistics for Elementary Education Majors. 3 cr. U. Random experiments; histograms; sample spaces; equally likely outcomes for random experiments; permutations; combinations; binomial, geometric, hypergeometric distributions; expectation; conditional probabilities; max likelihood estimation & inference.|Math 278 and MthStat 278 are jointly offered; they count as repeats of one another. Prereq: grade of C or better in Math 176(P) or cons instr.
299 Ad Hoc: (Subtitled). 1-6 cr. U. Course created expressly for offering in a specified enrollment period. Requires only dept & assoc dean approval. In exceptional circumstances, can be offered in one add'l sem.|May be retaken w/chg in topic. Prereq: none; add'l prereqs may be assigned to specific topic.
361 Introduction to Mathematical Statistics I. 3 cr. U/G. Probability spaces; discrete and continuous, univariate and multivariate distributions; moments; independence, random sampling, sampling distributions; normal and related distributions; point and interval estimation.|Not recom for grad students in math, or students not planning to take MthStat 362. Prereq: jr st; Math 233(P).
362 Introduction to Mathematical Statistics II. 3 cr. U/G. Testing statistical hypothesis; linear hypothesis; regression; analysis of variance and experimental designs; distribution-free methods; sequential methods.|Not recom for grad students in math. Prereq: jr st; MthStat 361(P).
461 Data Analysis and Graphing Using SAS-I. 2 cr. U. Introduction to SAS language programming. Procedures for handling raw data, SAS data, and parametric and nonparametric univariate data analysis; procedures for graphical display. Offered first half of sem.|Does not count toward math sci major. Prereq: MthStat 215(P), 362(P), 465(P), 467(P), Bus Adm 210(P), or Econ 210(P).
462 Data Analysis and Graphing Using SAS-II. 2 cr. U/G. Continuation of MthStat 461. Procedures GLM, LIFEREG, LIFETEST, LOGISTIC, PROBIT and advanced GRAPHING. Offered second half of sem.|U cr does not count toward math sci major. Prereq: jr st; MthStat 461(P) or cons instr.
465 Introductory Mathematical Statistics for Social Sciences and Education. 3 cr. U/G. Probability distributions; parameter estimation and confidence intervals; hypothesis testing; applications.|Not open for cr to students w/cr in MthStat 467, 362, or for grad cr in math. Not open for cr toward major in math except in School of Education. Prereq: jr st; Math 211(P) or 232(P).
467 Introductory Statistics for Physical Sciences and Engineering Students. 3 cr. U/G. Concepts of probability and statistics; probability distributions of engineering applications; sampling distributions; hypothesis testing, parameter estimation; experimental design; regression analysis.|Not open for cr for Math majors or students with cr in MthStat 362 or 465. Prereq: jr st; Math 233(P).
469 Biostatistics. 3 cr. U/G. Simple distributions, estimation and hypothesis testing, simple regression, analysis of variance, nonparametric methods in biology. Demography and vital statistics and bioassay and clinical trials.|Not allowed as part of core curric for Math majors. Not open for cr to students with cr in MthStat 569 & not open for grad cr in Math. Prereq: jr st; an elementary stats course.
489 Internship in Mathematical Statistics, Upper Division. 1-6 cr. U. Application of advanced principles of mathematical statistics in a business, organizational, educational, governmental, or other appropriate setting.|One cr earned for academic work based on 40 hrs in internship. May be retaken to 6 cr max. Prereq: jr st; 6 cr 300-level or above in Math or MthStat; 2.5 gpa in the major; cons supervising faculty member.
499 Ad Hoc: (Subtitled). 1-6 cr. U. Course created expressly for offering in a specified enrollment period. Requires only dept & assoc dean approval. In exceptional circumstances, can be offered in one add'l sem.|May be retaken w/chg in topic. Prereq: jr st; add'l prereqs may be assigned to specific topic.
562 Design of Experiments. 3 cr. U/G. Latin squares; incomplete block designs; factorial experiments; confounding; partial confounding; split-plot experiments; fractional replication.|Prereq: jr st; MthStat 362(P); Math 234(P) or 240(P).
563 Regression Analysis. 3 cr. U/G. Straight line, polynomial and multiple regression; multiple and partial correlation; testing hypotheses in regression; residual analysis.|Prereq: jr st; MthStat 467(P) or 362(P).
564 Time Series Analysis. 3 cr. U/G. Autocorrelation; spectral density; linear models; forecasting; model identification and estimation.|Prereq: jr st; MthStat 362(P).
565 Nonparametric Statistics. 3 cr. U/G. Sign, rank and permutation tests; tests of randomness and independence; methods for discrete data and zeroes and ties; power and efficiency of nonparametric tests.|Prereq: jr st; MthStat 362(P).
566 Computational Statistics. 3 cr. U/G. Basics of programming and optimization techniques; resampling, bootstrap, and Monte Carlo methods; design and analysis of simulation studies.|Prereq: jr st; MthStat 362(P) or cons instr.
568 Multivariate Statistical Analysis. 3 cr. U/G. Multivariate normal distribution; Wishart distribution; Hotelling's T2; multivariate normal distribution; multivariate analysis of variance; classification problems.|Prereq: jr st; MthStat 362(P); Math 234(P) or 240(P).
591 Foundations of Professional Practice in Actuarial Science. 1 cr. U. Lecture and discussions on professional topics such as health, pension, life, casualty, regulation.|May be retaken for cr once. Prereq: completion of actuarial sci prep curric or cons instr.
592 Actuarial Science Laboratory I: Probability, Finance, and Economics. 1 cr. U. Fundamental probability tools for quantitatively assessing risk integrated with economic and financial concepts; application of tools to actuarial problems; introduction to insurance and risk management.|Prereq: C or better in MthStat 361(P) or cons instr.
593 Actuarial Science Laboratory II: Interest Theory, Finance, and Economics. 1 cr. U. Fundamental interest theory tools integrated with economic and financial concepts; financial mathematics; financial instruments; calculating present and accumulated values for various streams of cash flow.|Prereq: C or better in Math 311(P) or cons instr.
596 Actuarial Statistics I: Fitting of Loss Models. 3 cr. U/G. Statistical modeling of insurance data. Model specification, fitting and validation. Measures of confidence for model-based decisions.|Prereq: jr st; B- or better in each Math 234(P) and MthStat 362(P); CompSci 151(P) or 201(P); or cons instr.
597 Actuarial Statistics II: Credibility, Risk Measures and Related Topics. 3 cr. U/G. Statistical techniques for insurance data. Credibility and ratemaking. Risk measures. Dependent risks and copulas. Simulations.|Prereq: jr st; B- or better in each Math 234(P) and MthStat 362(P); CompSci 151(P) or 201(P); or cons instr.
691 Actuarial Models I: Life Contingencies. 3 cr. U/G. Modeling and valuation of cash flows dependent on death, survival and other random events. Survival models for single and multiple risks. Life insurances and annuities.|Prereq: jr st; B- or better in each Math 571(P) and Math 311(P); or cons instr.
692 Actuarial Models II: Financial Economics. 3 cr. U/G. Modeling and managing of financial risks. Interest rate models. Valuation of derivatives securities. Risk management.|Prereq: jr st; B- or better in each Math 571(P) and Math 311(P); or cons instr.
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