# Statistics

145. Introduction to Statistics. (3)

279. Topics in Introductory Statistics. (1 to 3 to a maximum of 3 Δ)

**345. Elements of Mathematical Statistics and Probability Theory. (3)

427 / 527. Advanced Data Analysis I. (3)

428 / 528. Advanced Data Analysis II. (3)

434 / 534. Contingency Tables and Dependence Structures. (3)

440 / 540. Regression Analysis. (3)

445 / 545. Analysis of Variance and Experimental Design. (3)

453 / 553. Statistical Inference with Applications. (3)

461 / 561. Probability. (3)

470 / 570. Industrial Statistics. (3)

472 / 572. Sampling Theory and Practice. (3)

474 / 574. Biostatistical Methods: Survival Analysis and Logistic Regression. (3)

476 / 576. Multivariate Analysis. (3)

477 / 577. Introduction to Bayesian Modeling. (3)

479. Topics in Statistics. (3, no limit Δ)

481 / 581. Introduction to Time Series Analysis. (3)

495. Individual Study. (1-3 to a maximum of 6 Δ)

520. Topics in Interdisciplinary Biological and Biomedical Sciences. (3, no limit Δ)

527 / 427. Advanced Data Analysis I. (3)

528 / 428. Advanced Data Analysis II. (3)

534 / 434. Contingency Tables and Dependence Structures. (3)

540 / 440. Regression Analysis. (3)

545 / 445. Analysis of Variance and Experimental Design. (3)

546. Theory of Linear Models. (3)

547. Multivariate Analysis and Advanced Linear Models. (3)

553 / 453. Statistical Inference with Applications. (3)

556. Advanced Statistical Inference I. (3)

557. Advanced Statistical Inference II. (3)

561 / 461. Probability. (3)

565. Stochastic Processes with Applications. (3)

569. Selected Topics in Probability Theory. (3, no limit Δ)

570 / 470. Industrial Statistics. (3)

572 / 472. Sampling Theory and Practice. (3)

574 / 474. Biostatistical Methods: Survival Analysis and Logistic Regression. (3)

576 / 476. Multivariate Analysis. (3)

577 / 477. Introduction to Bayesian Modeling. (3)

579. Selected Topics in Statistics. (3, no limit Δ)

581 / 481. Introduction to Time Series Analysis. (3)

586. Nonparametric Curve Estimation and Image Reconstruction. (3)

590. Statistical Computing. (3)

595. Problems. (1-3, no limit Δ)

599. Master's Thesis. (1-6, no limit Δ)

605. Graduate Colloquium. (1 to a maximum of 4 Δ)

649. Seminar in Probability and Statistics. (1-3, no limit Δ)

650. Reading and Research. (1-6 to a maximum of 12 Δ)

699. Dissertation. (3-12, no limit Δ)

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Office of the Registrar

MSC 11 6325
1 University of New Mexico
Albuquerque, NM 87131

Phone: (505) 277-8900
Fax: (505) 277-6809
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