By John F. Monahan
With insurance progressively progressing in complexity, the textual content first offers examples of the final linear version, together with a number of regression types, one-way ANOVA, mixed-effects types, and time sequence types. It then introduces the fundamental algebra and geometry of the linear least squares challenge, ahead of delving into estimability and the Gauss–Markov version. After offering the statistical instruments of speculation exams and self belief durations, the writer analyzes combined types, similar to two-way combined ANOVA, and the multivariate linear version. The appendices evaluation linear algebra basics and effects in addition to Lagrange multipliers.
This ebook allows entire comprehension of the cloth by means of taking a basic, unifying method of the speculation, basics, and distinctive result of linear models.
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Extra info for A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
A Primer on Linear Models (Chapman & Hall/CRC Texts in Statistical Science) by John F. Monahan