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STAT 131: Time Series Analysis and Forecasting
4.00 Credits
Harvard University
An introduction to time series models and associated methods of data analysis and inference. Auto regressive (AR), moving average (MA), ARMA, and ARIMA processes, stationary and non-stationary processes, seasonal processes, auto-correlation and partial auto-correlation functions, identification of models, estimation of parameters, diagnostic checking of fitted models, forecasting, spectral analysis, and transfer function models.
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STAT 131 - Time Series Analysis and Forecasting
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STAT 135: Statistical Computing Software
4.00 Credits
Harvard University
An introduction to major statistics packages used in academics and industry (SAS and R). Will discuss data entry and manipulation, implementing standard analyses and graphics, exploratory data analysis, simulation-based methods, and new programming methods.
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STAT 135 - Statistical Computing Software
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STAT 139: Statistical Sleuthing Through Linear Models
4.00 Credits
Harvard University
A serious introduction to statistical inference where linear models and related methods are used. Topics include the pros and cons of t-tools and their alternatives, multiple-group comparisons, linear regressions, model checking and refinement. Emphasis on statistical thinking and tools for real-life problems, application to current events whenever relevant.
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STAT 139 - Statistical Sleuthing Through Linear Models
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STAT 140: Design of Experiments
4.00 Credits
Harvard University
Statistical designs for efficient experimentation in physical, chemical, biological, social and management sciences and in engineering. A systematic approach to explore input-output relationships by deliberately manipulating input variables. Topics include analysis of variance, completely randomized and randomized block designs, Latin square designs, balanced incomplete block designs, factorial designs, confounding in blocks, fractional replications, orthogonal arrays, and response surface designs. Each topic is motivated by a real-life example.
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STAT 140 - Design of Experiments
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STAT 149: Statistical Sleuthing through Generalized Linear Models
4.00 Credits
Harvard University
A sequel to Statistics 139, emphasizing common methods for analyzing categorical data. Topics include mixed effects model, contingency tables, log-linear models, logistic, Probit and Poisson regression, model selection, and model checking. Examples will be drawn from several fields, particularly from biology and social sciences.
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STAT 149 - Statistical Sleuthing through Generalized Linear Models
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STAT 171: Introduction to Stochastic Processes
4.00 Credits
Harvard University
An introductory course in stochastic processes. Topics include Markov chains, branching processes, Poisson processes, birth and death processes, Brownian motion, martingales, introduction to stochastic integrals, and their applications.
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STAT 171 - Introduction to Stochastic Processes
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STAT 91r: Supervised Reading and Research
4.00 Credits
Harvard University
Supervised reading and research in an area of statistics agreed upon by the student and a faculty adviser.
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STAT 91r - Supervised Reading and Research
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STAT 99hf: Tutorial - Senior Year
4.00 Credits
Harvard University
The systematic application of statistical ideas to a problem area.
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STAT 99hf - Tutorial - Senior Year
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Sumerian 146: Sumerian Religious Literature
4.00 Credits
Harvard University
Course description unavailable
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Sumerian 146 - Sumerian Religious Literature
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SUMERIAN A: Elementary Sumerian
8.00 Credits
Harvard University
Introduction to the Sumerian language with emphasis on grammatical structure.
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SUMERIAN A - Elementary Sumerian
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