<P><BR>1.GAUSS/WINDOWS INTERFACE; BASIC STRUCTURE OF A GAUSS PROGRAM<BR>2. CREATION OF VECTORS AND MATRICES. DATA INPUT AND OUTPUT.<BR>a. Direct Creation. Uses of let.<BR>b. Reading Data from Previously Created Files. Uses of load.<BR>c. Outputting Data with print. format Statements.<BR>d. An Example of Data Input and Output Using a Comma Delimited File, LAWLEY.CVS.<BR>3. STRINGS AND STRING CONCATENATION<BR>4. NUMBERS AND MATRICES<BR>a. Real and Complex Numbers<BR>b. More on Creating Matrices: Special Matrices and Concatenation<BR>c. Matrix Description and Manipulation<BR>(1) Dimensions<BR>(2) Minimum and Maximum Elements, Ranges and Counts, Means, Sums and Products<BR>(3) Matrix Element Manipulation<BR>(4) Sorting Data<BR>(5) Submatrix Extraction</P>
<P>5. MATHEMATICAL AND STRING OPERATORS<BR>6. RELATIONAL AND LOGICAL OPERATORS FOR SCALARS OR MATRICES<BR>7. PROGRAM FLOW CONTROL: DO-LOOPS, FOR-LOOPS, AND BRANCHING<BR>8. PROCEDURES, FUNCTIONS, KEYWORDS AND LIBRARIES<BR>9. SIMPLE GRAPHS IN GAUSS<BR>10. MATHEMATICAL FUNCTIONS IN GAUSS: PI, TRIGONOMETRIC AND OTHER FUNCTIONS<BR>a. Trigonometric Functions<BR>b. Other Mathematical Functions<BR>11. CHARACTERISTIC ROOTS AND VECTORS; MATRIX DECOMPOSITIONS; SOLUTION OF<BR>LINEAR EQUATIONS.<BR>12. POLYNOMIALS.<BR>13. FOURIER TRANSFORMS<BR>14. RANDOM NUMBER GENERATION AND STATISTICAL DISTRIBUTIONS<BR>a. Random Number Generators<BR>b. Density Functions<BR>c. Cumulative Distribution Functions</P>
<P>15. NUMERICAL DIFFERENTIATION AND INTEGRATION<BR>a. Numerical Differentiation<BR>b. Numerical Integration<BR>16. MAXIMIZATION AND MINIMIZATION: QNewton and QProg<BR>a. Examples Comparing Steepest Ascent with QNewton<BR>(1) Poisson Count Regression<BR>(2) Regression with First-Order Serially Correlated Disturbances<BR>(3) Regression with Heteroskedastic Disturbances<BR>(4) Regression with Box-Cox Transformations<BR>(5) Nonlinear Regression<BR>b. An Example of Quadratic Programming using Qprog</P>