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STAT 636: Meth Multivariate Anly
3.00 Credits
Texas A & M University-Galveston
Methods in Multivariate Analysis. (3-0). Credit 3. Multivariate extensions of the chi-square and t-tests, discrimination and classification procedures; applications to diagnostic problems in biological, medical, anthropological and social research; multivariate analysis of variance, principal component and factor analysis, canonical correlations. Prerequisites: MATH 423 and STAT 653 or approval of instructor. Cross-listed with INFO 657.
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STAT 636 - Meth Multivariate Anly
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STAT 637: Stat Mthds In Ecology
3.00 Credits
Texas A & M University-Galveston
Statistical Methods in Ecology. (3-0). Credit 3. Derivation and application of statistical distributions for sampling models, birth-death processes, time intervals, size models, heterogeneous and clustered models in ecology; stochastic models for population growth, competition and predation and multi-dimensional processes. Prerequisite: STAT 601, 641 or 652 with approval of instructor.
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STAT 637 - Stat Mthds In Ecology
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STAT 641: Methods Of Stat I
3.00 Credits
Texas A & M University-Galveston
The Methods of Statistics I. (3-0). Credit 3. An application of the various disciplines in statistics to data analysis, introduction to statistical software; demonstration of interplay between probability models and statistical inference. Prerequisite: Concurrent enrollment in STAT 610 or approval of instructor.
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STAT 641 - Methods Of Stat I
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STAT 642: Methods Of Stat Ii
3.00 Credits
Texas A & M University-Galveston
The Methods of Statistics II. (3-0). Credit 3. Design and analysis of experiments; scientific method; graphical displays; analysis of nonconventional designs and experiments involving categorical data. Prerequisite: STAT 641.
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STAT 642 - Methods Of Stat Ii
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STAT 643: Biostatistics I
3.00 Credits
Texas A & M University-Galveston
Biostatistics I. (3-0). Credit 3. Bio-assay for quantitative and quantal responses: statistical analysis of contingency, including effect estimates, matched samples and misclassification. Prerequisites: STAT 608, 630, and 642 or STAT 610.
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STAT 644: Biostatistics Ii
3.00 Credits
Texas A & M University-Galveston
Biostatistics II. (3-0). Credit 3. Generalized linear models; survival analysis with emphasis on nonparametric models and methods. Prerequisite: STAT 643 or approval of instructor.
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STAT 645: Appl Biostat & Data Anly
3.00 Credits
Texas A & M University-Galveston
Applied Biostatistics and Data Analysis. (3-0). Credit 3. Survey of crucial topics in biostatistics; application of regression in biostatistics; analysis of correlated data; logistic and Poisson regression for binary or count data; survival analysis for censored outcomes; design and analysis of clinical trials; sample size calculation by simulation; bootstrap techniques for assessing statistical significance; data analysis using R. Prerequisites: STAT 651, 652, and 659, or equivalent or prior approval of instructor.
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STAT 646: Stat Bioinformatics
3.00 Credits
Texas A & M University-Galveston
Statistical Bioinformatics. (3-0). Credit 3. An overview of relevant biological concepts and technologies of genomic/proteomic applications; methods to handle, visualize, analyze, and interpret genomic/proteomic data; exploratory data analysis for genomic/proteomic data; data preprocessing and normalization; hypotheses testing; classification and prediction techniques for using genomic/proteomic data to predict disease status. Prerequisites: STAT 604, 651, 652 or equivalent or prior approval of instructor.
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STAT 647: Spatial Statistics
3.00 Credits
Texas A & M University-Galveston
Spatial Statistics. (3-0). Credit 3. Spatial correlation and its effects; spatial prediction (kriging); spatial regression; analysis of point patterns (tests for randomness and modelling patterns); subsampling methods for spatial data. Prerequisite: STAT 601 or 611 or equivalent.
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STAT 647 - Spatial Statistics
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STAT 648: Applied Stat & Data Analys
3.00 Credits
Texas A & M University-Galveston
Applied Statistics and Data Analysis. (3-0). Credit 3. Background to conduct research in the development of new methodology in applied statistics. Topics covered will include: exploratory data analysis; sampling; testing; smoothing; classification; time series; and spatial data analysis. Prerequisite: Approval of instructor.
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STAT 648 - Applied Stat & Data Analys
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