Summary: Econometrics: Methods And Applications

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  • 8 week 8: Building Blocks

  • 8.1.1 Lecture M.1: Introduction to Vectors and Matrices

    This is a preview. There are 9 more flashcards available for chapter 8.1.1
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  • How is a Matrix defined?

    Essentially, a matrix is an array of elements. Thos elements can be numbers or expressions or anything else. And its a convenient way to store a lot of information.
  • What is the difference between a matrix and a vector?

    A vector is a type of matrix but where matrices have multiple rows/columns, a vector only has one.
  • What is a scalar multiple?

    When you perform scalar multiplication (multiplying a matrix or each element in a matrix by a number), you are essentially creating a whole new matrix. That new matrix is what is referred to as a scalar multiple.
  • In summing matrices, does the order of the summation matter?

    No, it does not.
  • Explain how to combine multiple additions and multiplications

    Abc
  • How do we multiply vectors and matrices and what is important to pay attention to?

    Abc
  • What is the 'dot product' also known as the 'inner product'?

    Abc
  • What does it mean for a vector matrix to be orthogonal?

    Abc
  • What are the special matrices mentioned in this lecture?

    1) Square matrix
    2) Diagonal matrix
    3) Identity matrix
    4) Unit vector
  • Explain what a square matrix is

    A matrix with equal numbers of rows and columns (ex. 2x2, 3x3)
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