U-Statistics Theory and Practice — Scriptorium Liberum

U-Statistics : Theory and Practice

✍ Lee, A. J 📂 Library 📅 2019 🏛 Routledge 🌐 English

In 1946 Paul Halmos studied unbiased estimators of minimum variance, and planted the seed from which the subject matter of the present monograph sprang. The author has undertaken to provide experts and advanced students with a review of the present status of the evolved theory of U-statistics, inclu

U-Statistics: theory and practice

📁 U-Statistics: theory and practice

✍ Lee, A. J 📂 Library 📅 1990 🏛 M. Dekker; CRC Press 🌐 English

Statistical Models: Theory and Practice

📁 Statistical Models: Theory and Practice

✍ David A. Freedman 📂 Library 📅 2009 🏛 Cambridge University Press 🌐 English

This lively and engaging textbook explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The author, David A. Freedman, explains the basic ideas of association and regressio

Statistical Matching: Theory and Practic

📁 Statistical Matching: Theory and Practice

✍ Marcello D'Orazio, Marco Di Zio, Mauro Scanu 📂 Library 📅 2006 🏛 Wiley 🌐 English

There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching al

Statistical Inference: Theory and Practi

📁 Statistical Inference: Theory and Practice

✍ Tadeusz Bromek, Elżbieta Pleszczyńska (auth.), Tadeusz Bromek, Elżbieta Pleszczy 📂 Library 📅 1990 🏛 Springer Netherlands 🌐 English

<p>Use and misuse of statistics seems to be the signum temporis of past decades. But nowadays this practice seems slowly to be wearing away, and common sense and responsibility recapturing their position. It is our contention that little by little statistics should return to its starting point, i.e.

Statistical Matching: Theory and Practic

📁 Statistical Matching: Theory and Practice

✍ Marcello D'Orazio, Marco Di Zio, Mauro Scanu 📂 Library 📅 2006 🏛 Wiley 🌐 English

There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching al