Faculty
Professor and Chair, M. Jacroux; Professors, S. Ahn, J. Alledredge, R. Bendel, S. Fotopoulos, V. Jandhyala, H. Li, R. Mittelhammer, D. Sclar, R. Steinhorst, M. C. Wang; Associate Professors, N. Dasgupta, M. Evans, F. Pascual, R. Short, B. N. Tissot, H. Zhang; Professors Emeriti, T. Bogyo, T. Russell, S. Saunders.
Program
The graduate Program in Statistics is an interdisciplinary arrangement with cooperative faculty across the campus who are involved in statistics teaching, research and consulting. The College of Agricultural, Human and Natural Resource Sciences and the Departments of Management Operations, Economics, and Mathematics are each represented among the current faculty. In addition, liaison is maintained with the Division of Statistics at the University of Idaho and with the Mathematics and Statistics Program at WSU Tri-Cities and WSU Vancouver.
The department currently offers coursework leading to a Master of Science in Statistics. Requirements for this degree include at least 31 hours of graduate work. Degree candidates must take 15 hours of “core” material including Stat 443, Stat 456/556, Stat 512, Stat 530 and Stat 533, take a statistical computing course, take three courses from selected field areas, and pass an oral exam over their coursework. In addition, each candidate must participate in two credit hours of consulting seminar and carry out a four credit special project. Persons interested in pursuing an MS in Statistics at WSU are encouraged to request detailed information about the degree and the supporting staff and facilities from the Chair of the Department of Statistics.
As preparation for work toward a Master of Science Degree in Statistics, a student must have completed one or more courses in statistical methods, mathematics through multivariable calculus, linear algebra and have Fortran or C programming capability. A course in advanced calculus is also strongly recommended.
Statistics
504 Special Topics 3 Prereq Stat 456. Cooperative course taught by UI (Stat 504), open to WSU students.
507 Experimental Design 3 Prereq Stat 512. Methods of constructing and analyzing designs for experimental investigations; analysis of designs with unequal subclass numbers; concepts of blocking randomization and replication; confounding in factorial experiments; incomplete block designs; response surface methodology. Cooperative course taught by UI (Stat 507), open to WSU students.
510 Topics in Probability and Statistics 3 Graduate-level counterpart of Stat 410; additional requirements. Credit not granted for both Stat 410 and 510.
511 Statistics for Economics Same as Ag Ec 510.
512 Analysis of Variance of Designed Experiments 3 (2-2) Prereq Math 360 or Stat 412 or equivalent. Principles of experimental design and analysis and interpretation of data.
513 Advanced Econometric Application 3 Same as Ag Ec 590.
514 Nonparametric Statistics 3 Prereq Stat 512. Conceptual development of basic nonparametric tests including their power and efficiency. Cooperative course taught by UI (Stat 514), open to WSU students.
516 Time Series 3 Same as DecS 516. Cooperative course taught by WSU, open to UI students (Stat 539).
518 Techniques in Sampling 3 Same as DecS 518.
519 Applied Multivariate Analysis 3 Prereq MgtOp 591 or Stat 443. Same as MgtOp 519. Cooperative course taught jointly by WSU and UI (Stat 519).
520 Statistical Analysis of Qualitative Data 3 Prereq Math 140, 172 or 202; statistics course. Binomial, Poisson, multinomial distribution; contingency tables. Fisher’s test, loglinear models; ordinal data; applications in biology, business, psychology and sociology. Credit not granted for both Stat 420 and 520. Cooperative course taught by WSU, open to UI students (Stat 520).
523 Statistical Methods for Engineers and Scientists 3 Prereq graduate standing. Graduate level counterpart of Stat 423; additional requirements. Credit not granted for both Stat 423 and 523.
530 Applied Linear Models 3 (2-2) Prereq Math 360 or Stat 412 or equivalent. The design and analysis of experiments by linear models.
531 Econometrics 3 Same as Econ 511. Cooperative course taught by WSU, open to UI students (Stat 531).
533 Theory of Linear Models 3 Prereq Math 420, Stat 430, or 456. Theoretical basis of linear regression and analysis of variance models; a unified approach based upon the generalized inverse. Cooperative course taught jointly by WSU and UI (Stat 575).
535 Regression Analysis 3 Prereq Stat 430 or 456. Conceptual development of regression; estimation, prediction, tests of hypotheses, variable selection, diagnostics, model validation, correlation, and nonlinear regression. Cooperative course taught jointly by WSU and UI (Stat 550).
536 Statistical Computing 3 (2-3) Prereq Stat 443 and 530, or Stat 523, or by permission. Generation of random variables, monte carlo simulation, bootstrap and jackknife methods, EM algorithm, markov chain monte carlo methods. Cooperative course taught jointly by WSU and UI (Stat 565).
542 Applied Stochastic Models 3 Same as DecS 542.
544 Applied Stochastic Processes 3 Prereq Stat 430 or 443. Poisson and Markov processes; queuing theory; auto-covariance; stationarity; power spectra; harmonic analysis; linear mean-square predictions. Cooperative course taught jointly by WSU and UI (Stat 544).
548 Statistical Theory I 3 Prereq Math 273; Stat 430 or 443. Probability spaces, combinatorics, multidimensional random variables, characteristic function, special distributions, limit theorems, stochastic processes, order statistics. Cooperative course taught by WSU, open to UI students (Stat 548).
549 Statistical Theory II 3 Prereq Stat 548. Continuation of Stat 548. Statistical inferences; estimation and testing hypotheses; regression analysis; sequential analysis and nonparametric methods. Cooperative course taught by WSU, open to UI students (Stat 549).
552 Advanced Econometrics 3 Same as AgEc 512.
555 Statistical Ecology 3 Prereq Stat 443. Ecological stochastic models, population dynamics and genetics, sampling, spatial analysis, discrete/continuous distributions, birth-death processes, diffusion processes. (a/y) Cooperative course taught by UI (Stat and WLF 555), open to WSU students.
556 Introduction to Statistical Theory 3 Prereq graduate standing. Graduate level counterpart of Stat 456; additional requirements. Credit not granted for both Stat 456 and 556.
572 Quality Control 3 Prereq Stat/Math 360 or 443. Simple quality assurance tools; process monitoring; Shewhart control charts; process characterization and capability; sampling inspection; factorial experiments.
573 Reliability Theory 3 Prereq Stat 430, 443. Statistical concepts; stochastic material strengths and lifetimes; strength versus safety analysis; reliability of coherent systems; maintenance models; complex systems. Cooperative course taught jointly by WSU and UI (Stat 571).
586 Applied Multiple Time Series Analysis 3 Same as DecS 586.
590 Statistical Consulting Practicum 1 or 2 Prereq three courses in statistics, including one methods course or by interview only. Theory and practice of statistical consulting; participation in consulting sessions.
600 Special Projects or Independent Study. Variable credit. S, F grading.
700 Master's Research, Thesis, and/or Examination Variable credit. S, F grading.
702 Master's Special Problems, Directed Study, and/or Examination Variable credit. S, F grading.