• 31 Pages notebook01
    Notebook01

    School: UMBC

    MT426 Notebook 1 prepared by Professor Jenny Baglivo c Copyright 2009 by Jenny A. Baglivo. All Rights Reserved. 1 MT426 Notebook 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.1 1.2 Deni

  • 36 Pages notebook02
    Notebook02

    School: UMBC

    MT426 Notebook 2 prepared by Professor Jenny Baglivo c Copyright 2009 by Jenny A. Baglivo. All Rights Reserved. 2 MT426 Notebook 2 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1.1 2.2 Defi

  • 34 Pages notebook03
    Notebook03

    School: UMBC

    MT426 Notebook 3 prepared by Professor Jenny Baglivo c Copyright 2009 by Jenny A. Baglivo. All Rights Reserved. 3 MT426 Notebook 3 3.1 3.2 Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Joint Dis

  • 44 Pages notebook04
    Notebook04

    School: UMBC

    MT426 Notebook 4 prepared by Professor Jenny Baglivo c Copyright 2009 by Jenny A. Baglivo. All Rights Reserved. 4 MT426 Notebook 4 4.1 Expected Value of a Random Variable . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.1.1 4.1.2 4.2 4.3 4

  • 15 Pages notebook05
    Notebook05

    School: UMBC

    MT426 Notebook 5 prepared by Professor Jenny Baglivo c Copyright 2009 by Jenny A. Baglivo. All Rights Reserved. 5 MT426 Notebook 5 5.1 Sequences of IID Random Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1.1 5.2 5.3 Running

  • 1 Page Email01
    Email01

    School: UMBC

    From: Subject: Date: To: Jenny Baglivo <jenny.baglivo@bc.edu> MT426 First Week/Assignment January 21, 2009 7:17:01 PM EST mt42602s@bc.edu, mt42601s@bc.edu Dear MT426 students, I'm sending this email to go over some basics about the course (which wi

  • 4 Pages hw06
    Hw06

    School: UMBC

    MT426 Assignment 6, due Friday, March 13 at class time Please (re)read Sections 3.1-3.4, 3.5.1, and 3.5.2 through Example B. You can ignore the FarlieMorgenstern distribution (Section 3.3, Example C) and the bivariate normal distribution (Section 3.3

  • 2 Pages hw10a
    Hw10a

    School: UMBC

    MT426 Assignment 10a, due Friday, April 24, at class time This problem set includes problems on linear functions of independent normal random variables (notebook 4, page 36), and moment generating functions (end of notebook 4, and Section 4.5 of the

  • 2 Pages syllabus
    Syllabus

    School: UMBC

    MT426 Probability Theory, MWF10, MWF12 January 2009 Professor Jenny Baglivo Voicemail: 2-3772 Email: baglivo@bc.edu Text: Mathematical Statistics, and Data Analysis, 3rd Edition, by John A. Rice, Duxbury Press, 2007 Office: Carney Hall, Room 301A

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