How Long to Read Robust and Non-robust Models in Statistics

How Long Does it Take to Read Robust and Non-robust Models in Statistics?

It takes the average reader to read Robust and Non-robust Models in Statistics by Lev Borisovich Klebanov

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

Description

In this book the authors consider so-called ill-posed problems and stability in statistics. Ill-posed problems are certain results where arbitrary small changes in the assumptions lead to unpredictable large changes in the conclusions. In a companion problem published by Nova, the authors explain that ill-posed problems are not a mere curiosity in the field of contemporary probability. The same situation holds in statistics. The objective of the authors of this book is to (1)identify statistical problems of this type, (2) find their stable variant, and (3)propose alternative versions of numerous theorems in mathematical statistics. The layout of the book is as follows. The authors begin by reviewing the central pre-limit theorem, providing a careful definition and characterisation of the limiting distributions. Then, they consider pre-limiting behaviour of extreme order statistics and the connection of this theory to survival analysis. A study of statistical applications of the pre-limit theorems follows. Based on these theorems, the authors develop a correct version of the theory of statistical estimation, and show its connection with the problem of the choice of an appropriate loss function. As It turns out, a loss function should not be chosen arbitrarily. As they explain, the availability of certain mathematical conveniences (including the correctness of the formulation of the problem estimation) leads to rigid restrictions on the choice of the loss function. The questions about the correctness of incorrectness of certain statistical problems may be resolved through appropriate choice of the loss function and/or metric on the space of random variables and their characteristics (including distribution functions, characteristic functions, and densities). Some auxiliary results from the theory of generalised functions are provided in an appendix.

How long is Robust and Non-robust Models in Statistics?

Robust and Non-robust Models in Statistics by Lev Borisovich Klebanov is 0 pages long, and a total of 0 words.

This makes it 0% the length of the average book. It also has 0% more words than the average book.

How Long Does it Take to Read Robust and Non-robust Models in Statistics Aloud?

The average oral reading speed is 183 words per minute. This means it takes to read Robust and Non-robust Models in Statistics aloud.

What Reading Level is Robust and Non-robust Models in Statistics?

Robust and Non-robust Models in Statistics is suitable for students ages 2 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.

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