It takes the average reader 5 hours and 49 minutes to read Parameter Estimation and Hypothesis Testing in Linear Models by Karl-Rudolf Koch
Assuming a reading speed of 250 words per minute. Learn more
A treatment of estimating unknown parameters, testing hypotheses and estimating confidence intervals in linear models. Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, the multivariate model, the model with unknown variance and covariance components and the regression model as well as the mixed model for estimating random parameters. A chapter on the robust estimation of parameters and several examples have been added to this second edition. The necessary theorems of vector and matrix algebra and the probability distributions of test statistics are derived so as to make this book self-contained. Geodesy students as well as those in the natural sciences and engineering will find the emphasis on the geodetic application of statistical models extremely useful.
Parameter Estimation and Hypothesis Testing in Linear Models by Karl-Rudolf Koch is 344 pages long, and a total of 87,376 words.
This makes it 116% the length of the average book. It also has 107% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 57 minutes to read Parameter Estimation and Hypothesis Testing in Linear Models aloud.
Parameter Estimation and Hypothesis Testing in Linear Models is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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