Principles of Statistical Inquiry
Principles of Statistical Inquiry

Author: Archibald Russell

Publisher: Legare Street Press

Published: 2023-07-18

Total Pages: 0

ISBN-13: 9781020858055

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Russell provides a detailed overview of the principles of statistical inquiry, including discussions of probability theory, data collection and analysis, and hypothesis testing. He emphasizes the importance of statistical literacy in today's society, and makes a compelling case for the need for a scientifically literate citizenry. This book is an excellent resource for anyone interested in the fundamentals of statistics and its applications. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Principles of Statistical Inquiry
Principles of Statistical Inquiry

Author: Archibald Russell

Publisher: Forgotten Books

Published: 2017-12-02

Total Pages: 0

ISBN-13: 9780260666284

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Excerpt from Principles of Statistical Inquiry: As Illustrated in Proposals for Uniting an Examination; Into the Resources of the United States; With the Census to Be Taken in 1840 The following Essays, do not aspire to the character of a statistical treatise, nor to that of a full examination into the abstract principles of statistical inquiry. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Principles of Statistical Inquiry - Scholar's Choice Edition
Principles of Statistical Inquiry - Scholar's Choice Edition

Author: Archibald Russell

Publisher: Scholar's Choice

Published: 2015-02-18

Total Pages: 274

ISBN-13: 9781297154669

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Stochastic Complexity In Statistical Inquiry
Stochastic Complexity In Statistical Inquiry

Author: Jorma Rissanen

Publisher: World Scientific

Published: 1998-10-07

Total Pages: 191

ISBN-13: 9814507407

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This book describes how model selection and statistical inference can be founded on the shortest code length for the observed data, called the stochastic complexity. This generalization of the algorithmic complexity not only offers an objective view of statistics, where no prejudiced assumptions of 'true' data generating distributions are needed, but it also in one stroke leads to calculable expressions in a range of situations of practical interest and links very closely with mainstream statistical theory. The search for the smallest stochastic complexity extends the classical maximum likelihood technique to a new global one, in which models can be compared regardless of their numbers of parameters. The result is a natural and far reaching extension of the traditional theory of estimation, where the Fisher information is replaced by the stochastic complexity and the Cramer-Rao inequality by an extension of the Shannon-Kullback inequality. Ideas are illustrated with applications from parametric and non-parametric regression, density and spectrum estimation, time series, hypothesis testing, contingency tables, and data compression.

Assessment Methods in Statistical Education
Assessment Methods in Statistical Education

Author: Penelope Bidgood

Publisher: John Wiley & Sons

Published: 2010-03-10

Total Pages: 304

ISBN-13: 9780470710463

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Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education. It is a collection of contributions written by some of the leading figures in statistical education from around the world, drawing on their personal teaching experience and educational research. The book reflects the wide variety of disciplines, such as business, psychology and the health sciences, which include statistics teaching and assessment. The authors acknowledge the increasingly important role of technology in assessment, whether it be using the internet for accessing information and data sources or using software to construct and manage individualised or online assessments. Key Features: Presents successful assessment strategies, striking a balance between formative and summative assessment, individual and group work, take-away assignments and supervised tests. Assesses statistical thinking by questioning students’ ability to interpret and communicate the results of their analysis. Relates assessment to the real world by basing it on real data in an appropriate context. Provides a range of individualised assessment methods, including those that deter plagiarism and collusion by providing each student with a unique problem to solve or dataset to analyse. This book is essential reading for anyone involved in teaching statistics at tertiary level or interested in statistical education research.