How Long to Read Statistical Tests of Nonparametric Hypotheses

How Long Does it Take to Read Statistical Tests of Nonparametric Hypotheses?

It takes the average reader 5 hours and 8 minutes to read Statistical Tests of Nonparametric Hypotheses by Odile Pons

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

Description

An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman–Pearson and LeCam's theories of optimal tests, the theories of empirical processes and kernel estimators with extensions of their applications to the asymptotic behavior of tests for distribution functions, densities and curves of the nonparametric models defining the distributions of point processes and diffusions. With many new test statistics developed for smooth curves, the reliance on kernel estimators with bias corrections and the weak convergence of the estimators are useful to prove the asymptotic properties of the tests, extending the coverage to semiparametric models. They include tests built from continuously observed processes and observations with cumulative intervals. Contents:IntroductionAsymptotic TheoryNonparametric Tests for One SampleTwo-Sample TestsMulti-Dimensional TestsNonparametric Tests for ProcessesNonparametric Tests Under Censoring or TruncationSequential Tests Readership: Researchers and graduates in the field of probability and statistics, and biomathematics. Keywords:Nonparametric Tests;Weak Convergence;Empirical Process;Kernel Estimator;Density;Nonparametric Regression;Point Process;Diffusion;Homogeneity;Symmetry;Goodness-of-Fit;MonotonyKey Features:The book gives a survey of the theory and explains how to build optimal tests in statisticsThe asymptotic efficiency and the asymptotic equivalence of tests are carefully illustrated in the examples and exercises along with their correctionsReviews: “This is a very nice book which will soon become one of the basic references in the field of statistical testing of hypotheses in nonparametric statistics. The author collected a lot of key results spread out in the rather vast literature and described them in a uniform manner.” Zentralblatt MATH

How long is Statistical Tests of Nonparametric Hypotheses?

Statistical Tests of Nonparametric Hypotheses by Odile Pons is 304 pages long, and a total of 77,216 words.

This makes it 103% the length of the average book. It also has 94% more words than the average book.

How Long Does it Take to Read Statistical Tests of Nonparametric Hypotheses Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 1 minute to read Statistical Tests of Nonparametric Hypotheses aloud.

What Reading Level is Statistical Tests of Nonparametric Hypotheses?

Statistical Tests of Nonparametric Hypotheses 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 Tests of Nonparametric Hypotheses?

Statistical Tests of Nonparametric Hypotheses by Odile Pons is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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