Course Criteria

Add courses to your favorites to save, share, and find your best transfer school.

  • STT 865: Modern Statistical Methods

    0.00 - 3.00 Credits
    Michigan State University

    Semester: Spring of even years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 863 Description: Modern statistical methods. Applicability and computer implementation. Resampling methods, including the bootstrap. Markov chain Monte Carlo methods. Survival analysis. Nonparametric curve estimation. Effective Dates: SUMMER 2005 - Open View all versions of this course
    ShareSTT 865 - Modern Statistical Methods
    Favorite

  • STT 866: Spatial Data Analysis

    3.00 Credits
    Michigan State University

    Semester: Fall of every year Credits:Total Credits: 4 Lecture/Recitation/Discussion Hours: 3 Lab Hours: 2 4(3-2) Recommended Background: (GEO 363 or STT 421 or STT 430) or equivalent quantitative methods courses. Description: Theory and techniques for statistical analysis of point patterns, spatially continuous data, and data in spatial zones. Semester Alias: GEO 466 Interdepartmental With: Geography Administered By: Geography Effective Dates: SPRING 2009 - Open View all versions of this course
    ShareSTT 866 - Spatial Data Analysis
    Favorite

  • STT 871: Theory of Statistics I

    0.00 - 3.00 Credits
    Michigan State University

    Semester: Fall of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: (MTH 828 or concurrently) and (STT 881 or concurrently) Description: Empirical distributions, quantiles, Glivenko-Cantelli Theorem. Important distributions and families. Convergences, Slutsky Theorem, asymptotics of differentiable functions. Basic concepts of decision theory. Confidence sets. Some basic statistical methods. Effective Dates: SUMMER 1995 - Open
    ShareSTT 871 - Theory of Statistics I
    Favorite

  • STT 872: Theory of Statistics II

    0.00 - 3.00 Credits
    Michigan State University

    Semester: Spring of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 871 and (STT 882 or concurrently) Description: Theory of Neyman Pearson tests and extensions. Convex loss estimation, best unbiased estimates, sufficient statistics, information lower bounds. Extensive application to linear models. LAN families and applications to estimation and tests. Effective Dates: SUMMER 1995 - Open
    ShareSTT 872 - Theory of Statistics II
    Favorite

  • STT 881: Theory of Probability I

    0.00 - 3.00 Credits
    Michigan State University

    Semester: Fall of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: MTH 828 or concurrently Description: Measures and their extensions, integration, and convergence theorems. Product measures, Lebesgue decomposition, transition probabilities, Kolmogorov consistency theorem. Independence. Classical limit theorems for partial sums. Effective Dates: FALL 1995 - Open
    ShareSTT 881 - Theory of Probability I
    Favorite

  • STT 882: Theory of Probability II

    0.00 - 3.00 Credits
    Michigan State University

    Semester: Spring of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 881 Description: Conditional expectation, martingales, stationary processes. Brownian motion, convergence in distribution, and the invariance principle. Effective Dates: SPRING 1995 - Open
    ShareSTT 882 - Theory of Probability II
    Favorite

  • STT 886: Stochastic Processes and Applications

    0.00 - 3.00 Credits
    Michigan State University

    Semester: Fall of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 441 or STT 861 Description: Markov chains and their applications in both discrete and continuous time, including classification of states, recurrence, limiting probabilities. Queuing theory, Poisson process and renewal theory. Effective Dates: FALL 2000 - Open
    ShareSTT 886 - Stochastic Processes and Applications
    Favorite

  • STT 888: Stochastic Models in Finance

    0.00 - 3.00 Credits
    Michigan State University

    Semester: Spring of even years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 441 or STT 861 Description: Stochastic models used in pricing financial derivatives. Discrete-time models. Brownian motion. Stochastic integrals and Ito's formula. Basic Black-Scholes model. Risk neutral distribution. European and American options. Exotic options. Interest rate market, futures, and interest rate options. Semester Alias: STT 887 Effective Dates: FALL 2007 - Open View all versions of this course
    ShareSTT 888 - Stochastic Models in Finance
    Favorite

  • STT 890: Statistical Problems

    1.00 - 3.00 Credits
    Michigan State University

    Semester: Fall of every year, Spring of every year, Summer of every year Credits:1-3 Reenrollment Information: A student may earn a maximum of 24 credits in all enrollments for this course. Restrictions: Approval of department. Description: Individualized study on selected problems. Effective Dates: FALL 1992 - Open
    ShareSTT 890 - Statistical Problems
    Favorite

  • STT 899: Master's Thesis Research

    1.00 - 6.00 Credits
    Michigan State University

    Semester: Fall of every year, Spring of every year, Summer of every year Credits:1-6 Reenrollment Information: A student may earn a maximum of 36 credits in all enrollments for this course. Restrictions: Approval of department. Description: Master's thesis research. Effective Dates: SUMMER 2002 - Open View all versions of this course
    ShareSTT 899 - Master's Thesis Research
    Favorite
To find college, community college and university courses by keyword, enter some or all of the following, then select the Search button.
(Type the name of a College, University, Exam, or Corporation)
(For example: Accounting, Psychology)
(For example: ACCT 101, where Course Prefix is ACCT, and Course Number is 101)
(For example: Introduction To Accounting)
(For example: Sine waves, Hemingway, or Impressionism)
Distance:
of
(For example: Find all institutions within 5 miles of the selected Zip Code)
Privacy Statement   |   Terms of Use   |   Institutional Membership Information   |   About AcademyOne   
Copyright 2006 - 2024 AcademyOne, Inc.