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All Next Term Statistics Courses


Fall 2020

This data is offered for your convenience only. The schedule data is updated regularly and may not reflect recent changes to the Schedule of Classes. For full, up-to-date course information please contact the Registrar's office

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STAT 279 - T: Introductory Statistics

Offered upon demand.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Science Math Learning Center 356
James Degnan310

STAT 345 - Elements of Math Stat & Prob

An introduction to probability including combinatorics, Bayes' theorem, probability densities, expectation, variance and correlation. An introduction to estimation, confidence intervals and hypothesis testing. Prerequisite: MATH 1440 or MATH 1522.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Physics & Astronomy Interdis 1100
Fletcher Christensen330
002M W F
1300-1350
Dane Smith Hall 325
Mohammed Quazi33
003T R
1400-1515
Dane Smith Hall 329
30

STAT 427 - Advanced Data Analysis I

Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression, and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Prerequisite: MATH 1350.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Collaborative Teaching & Learn 300
Erik Erhardt323Interactive Learning Space: http://goto.unm.edu/vuq4a

STAT 440 - Regression Analysis

Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 427. {Fall}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1300-1350
Dane Smith Hall 328
Guoyi Zhang33

STAT 461 - Probability

(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2530.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150
Dane Smith Hall 328
Guoyi Zhang30

STAT 476 - Multivariate Analysis

Tools for multivariate analysis including multivariate ANOVA, principal components analysis, discriminant analysis, cluster analysis, factor analysis, structural equations modeling, canonical correlations and multidimensional scaling. Prerequisite: 428 or 440. {Offered upon demand}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1100-1215
Science Math Learning Center B71
Ronald Christensen38

STAT 495 - Individual Study

Guided study, under the supervision of a faculty member, of selected topics not covered in regular course offerings.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Ronald Christensen1 TO 325
002Erik Erhardt1 TO 325
003Charles Wiggins1 TO 325
004Huining Kang1 TO 325
005James Degnan1 TO 324

STAT 527 - Advanced Data Analysis I

Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Course cannot be counted in the hours needed for graduate degrees in Mathematics and Statistics. Prerequisite: MATH 1350.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Collaborative Teaching & Learn 300
Erik Erhardt321Interactive Learning Space: http://goto.unm.edu/vuq4a

STAT 540 - Regression Analysis

Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 527. {Fall}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1300-1350
Dane Smith Hall 328
Guoyi Zhang35

STAT 546 - Theory of Linear Models

Theory of the Linear Models discussed in 440/540 and 445/545. Linear spaces, matrices, projections, multivariate normal distribution and theory of quadratic forms. Non-full rank models and estimability. Gauss-Markov theorem. Distribution theory for normality assumptions. Hypothesis testing and confidence regions. Prerequisite: 553, 545, linear algebra. {Alternate Falls}

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 556 - Adv Statistical Inference I

Theory and methods of point estimation, sufficiency and its applications. Prerequisite: 553, 561 and MATH 510. {Alternate Falls}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515

Ronald Christensen313

STAT 561 - Probability

(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2530.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001M W F
1100-1150
Dane Smith Hall 328
Guoyi Zhang34

STAT 576 - Multivariate Analysis

Tools for multivariate analysis including multivariate ANOVA, principal components analysis, discriminant analysis, cluster analysis, factor analysis, structural equations modeling, canonical correlations and multidimensional scaling. Prerequisite: 528 or 540. {Offered upon demand}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1100-1215
Science Math Learning Center B71
Ronald Christensen33

STAT 579 - Sel T:

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
0930-1045

Fletcher Christensen39
003T R
1230-1345

Yan Lu310Rescheduled from CRN 69404 STAT 579 002.

STAT 595 - Problems

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001
-

Erik Erhardt110Statistics Education Practicum

STAT 599 - Masters Thesis

Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Ronald Christensen1 TO 625
002Erik Erhardt1 TO 624
003Gabriel Huerta1 TO 625
004Yan Lu1 TO 625
005James Degnan1 TO 623
006
-

Fletcher Christensen1 TO 610
007
-

Li Li1 TO 610

STAT 649 - Sem Probability & Statistics

(Also offered as MATH 649)

SectionTime/LocationInstructorCreditsSeats OpenNotes
001F
1300-1350
Science Math Learning Center 124
James Degnan111

STAT 650 - Reading and Research

.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Yan Lu1 TO 625
002Huining Kang1 TO 625
003Li Li1 TO 625
004Ronald Christensen1 TO 625
005Li Luo1 TO 625
006Guoyi Zhang1 TO 625
007
-

James Degnan1 TO 625
008
-

Fletcher Christensen1 TO 610

STAT 699 - Dissertation

Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002James Degnan3 TO 1225
003Ronald Christensen3 TO 1225
004Erik Erhardt3 TO 1225
005Yan Lu3 TO 1225
007Li Li3 TO 1225
006Gabriel Huerta3 TO 1225
008
-

Guoyi Zhang3 TO 1210
001
-

Fletcher Christensen3 TO 1224