How Long to Read Statistical Analysis of Measurement Error Models and Applications

How Long Does it Take to Read Statistical Analysis of Measurement Error Models and Applications?

It takes the average reader 4 hours and 15 minutes to read Statistical Analysis of Measurement Error Models and Applications by Philip J. Brown

Assuming a reading speed of 250 words per minute. Learn more

Description

Measurement error models describe functional relationships among variables observed, subject to random errors of measurement. Examples include linear and nonlinear errors-in-variables regression models, calibration and inverse regression models, factor analysis models, latent structure models, and simultaneous equations models. Such models are used in a wide variety of areas, including medicine, the life sciences, econometrics, chemometrics, geology, sample surveys, and time series. Although the problem of estimating the parameters of such models exists in most scientific fields, there is a need for more sources that treat measurement error models as an area of statistical methodology.This volume is designed to address that need. This book contains the proceedings of an AMS-IMS-SIAM Joint Summer Research Conference in the Mathematical Sciences on Statistical Analysis of Measurement Error Models and Applications. The conference was held at Humboldt State University in Arcata, California in June 1989. The papers in this volume fall into four broad groups. The first group treats general aspects of the measurement problem and features a discussion of the history of measurement error models. The second group focuses on inference for the nonlinear measurement error model, an active area of research which generated considerable interest at the conference. The third group of papers examines computational aspects of estimation, while the final set studies estimators possessing robustness properties against deviations from common model assumptions.

How long is Statistical Analysis of Measurement Error Models and Applications?

Statistical Analysis of Measurement Error Models and Applications by Philip J. Brown is 248 pages long, and a total of 63,984 words.

This makes it 84% the length of the average book. It also has 78% more words than the average book.

How Long Does it Take to Read Statistical Analysis of Measurement Error Models and Applications Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours and 49 minutes to read Statistical Analysis of Measurement Error Models and Applications aloud.

What Reading Level is Statistical Analysis of Measurement Error Models and Applications?

Statistical Analysis of Measurement Error Models and Applications 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.

Where Can I Buy Statistical Analysis of Measurement Error Models and Applications?

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