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MATH 410A: Advanced Statistical Methods I
3.00 Credits
Central Washington University
Description: A thorough treatment of regression and correlation. Chi-square and other enumeration statistics. Non-parametric statistical principles of experimental design. Examples will be from a variety of fields. Prerequisites & Notes: Prerequisite, MATH 311. Credits: (3) Repeatable for Credit No Grading Basis GRD Notes: Formerly MATH 410.1. Students may not receive credit for both.
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MATH 410A - Advanced Statistical Methods I
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MATH 410B: Advanced Statistical Methods II
3.00 Credits
Central Washington University
Description: A thorough treatment of regression and correlation. Chi-square and other enumeration statistics. Non-parametric statistical principles of experimental design. Examples will be from a variety of fields. Prerequisites & Notes: Prerequisite, MATH 410A. Credits: (3) Repeatable for Credit No Grading Basis GRD
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MATH 410B - Advanced Statistical Methods II
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MATH 411A: Probability Theory
3.00 Credits
Central Washington University
Description: Principal topics include: combinatorial theory, conditional probability, random variables, expectation and moments, generating functions, various discrete and continuous distributions, law of large numbers, central limit theorem. Prerequisites & Notes: Prerequisite, MATH 273 or permission. Credits: (4) Repeatable for Credit No Grading Basis GRD Notes: Formerly MATH 411.1. Students may not receive credit for both.
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MATH 411A - Probability Theory
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MATH 411B: Mathematical Statistics I
3.00 Credits
Central Washington University
Description: Derived distributions, point and interval estimation, hypothesis testing. Correlation and regression theory. Distribution free methods. Bayesian inference. Prerequisites & Notes: Prerequisite, MATH 411A. Credits: (3) Repeatable for Credit No Grading Basis GRD Notes: Formerly MATH 411.2. Students may not receive credit for both
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MATH 411B - Mathematical Statistics I
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MATH 411C: Mathematical Statistics II
3.00 Credits
Central Washington University
Description: Derived distributions, point and interval estimation, hypothesis testing. Correlation and regression theory. Distribution free methods. Bayesian inference. Prerequisites & Notes: Prerequisite, MATH 411B. Credits: (3) Repeatable for Credit No Grading Basis GRD Notes: Formerly MATH 411.3. Students may not receive credit for both.
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MATH 411C - Mathematical Statistics II
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MATH 413: Introduction to Stochastic Processes
3.00 Credits
Central Washington University
Description: The Wiener Process, conditional probability and conditional expectation. Stationary and evolutionary processes. Various Poisson processes. Renewal counting processes. Discrete parameter Markov chains. Prerequisites & Notes: Prerequisite, MATH 411A. Credits: (5) Repeatable for Credit No Grading Basis GRD
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MATH 413 - Introduction to Stochastic Processes
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MATH 414: Time Series Analysis
3.00 Credits
Central Washington University
Description: Model building, parameter estimation, diagnostic checking of time series data; ARIMA models and forecasting. Analysis of seasonal models. Prerequisites & Notes: Prerequisites, MATH 410B. Credits: (3) Repeatable for Credit No Grading Basis GRD
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MATH 414 - Time Series Analysis
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MATH 416A: Actuarial Science Problems II
3.00 Credits
Central Washington University
Description: Students discuss and present problems in probability and mathematical statistics important for actuaries. Prerequisites & Notes: Prerequisite, MATH 411A or concurrent registration. Credits: (1-2) Repeatable for Credit No Grading Basis GRD Notes: Formerly MATH 499.1 and MATH 416.1. May be repeated for a total of 3 credits.
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MATH 416A - Actuarial Science Problems II
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MATH 416B: Actuarial Science Problems III
3.00 Credits
Central Washington University
Description: Students discuss and present problems in applied statistics important for actuaries. Prerequisites & Notes: Prerequisite, MATH 410B or concurrent registration. Credits: (1-2) Repeatable for Credit No Grading Basis GRD Notes: Formerly taught as MATH 499.2 and MATH 416.2. May be repeated for a total of 3 credits.
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MATH 416B - Actuarial Science Problems III
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MATH 417A: Loss Models I
3.00 Credits
Central Washington University
Description: Modeling process, calibration and evaluation. Analyzing data, determining a suitable model including parameter values, and providing measures. Prerequisites & Notes: Prerequisites, MATH 411A. Credits: (3) Repeatable for Credit No Grading Basis GRD Notes: Formerly MATH 417.1. Students may not receive credit for both.
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MATH 417A - Loss Models I
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