General Estimating Function Theory
John Hanfelt
Reading Time
at 250 WPM4h 10m
The average reader, reading at a speed of 250 WPM, would take 4h 10m to read General Estimating Function Theory.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
9
days at 30 min/day
250
total minutes
General Estimating Function Theory
by John Hanfelt
Published
2020
Publisher
Taylor & Francis Group
Pages
250
ISBN-13
9780429525810
Description
From the fully parametric setting to the semiparametric setting, General Estimating Function Theoryprovides a comprehensive introduction to the increasingly popular theory of estimating functions, which offers a unified framework for the study of many seemingly diverse methods of estimation. The book focuses on the significance of the modern theory rather than on mathematical rigor. It explores biostatistics topics, including artificial likelihoods, nuisance parameters, and model selection methods. The text also provides appendices on regularity conditions as well as Hilbert space and orthogonal projections.
Subjects
Sisters of the Yam
Modern Spectral Estimation
Detection, estimation, and modulation theory
Decision and estimation theory
Les objets fractals
Handbook of nonlinear regression models
Frequently Asked Questions
How many pages are in General Estimating Function Theory?
This edition of General Estimating Function Theory has approximately 250 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read General Estimating Function Theory?
For most readers, General Estimating Function Theory typically takes between 5h 13m and 3h 28m to complete. This is based on the book's length of approximately 62,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 10m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 9 days • Estimated word count: 62,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of General Estimating Function Theory?
The estimated word count for General Estimating Function Theory is approximately 62,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of General Estimating Function Theory?
General Estimating Function Theory was written by John Hanfelt.
When was General Estimating Function Theory published?
The publication date for this specific edition is 2020. The original work may have been published on a different date.