MATH 3P82 REGRESSION ANALYSIS Lecture Notes
MATH 3P82REGRESSION ANALYSISLecture Notesc Jan Vrbik23Contents1PREVIEW52USINGMAPLE7Basi cs ..................................... 9Procedures .................................. 10MatrixAlgebra ................................ 10Otherusefulcommands: ........................ 113 SIMPLE REGRESSION13MaximumLikelihoodMethod ........................ 15ConfidenceIntervals ............................. 17Regression coefficients ......................... 18Residual 19Hypotheses 20ModelAdequacy(Lack-of-FitTest).
>a:= (3.0+4)∗(2−6)+2/3−4/5; a:= −28.13333333 >a/7+9; 4.98095238 >a:= 14/6; a:= 7 3; >a/7+9; a:= 28 3; (from now on, we will omit the >prompt from our examples, showing only what we have to type). Maple can also handle the usual functions such as sin, cos, tan, arcsin, arccos, arctan, exp, ln, sqrt , etc. All angles are always measured ...
Download MATH 3P82 REGRESSION ANALYSIS Lecture Notes
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: