Resultado da Busca
5 de mar. de 2020 · English. xvi, 688 pages : 25 cm. This book serves as an introductory text for exploratory data analysis. It exposes readers and users to a variety of techniques for looking more effectively at data. The emphasis is on general techniques, rather than specific problems. On spine: EDA.
Exploratory data analysis is a set of techniques that have been principally developed by Tukey, John Wilder since 1970. The philosophy behind this approach is to examine the data before applying a specific probability model. According to Tukey, J.W., exploratory data analysis is similar to detective work.
John W. Tukey wrote the book Exploratory Data Analysis in 1977. Tukey held that too much emphasis in statistics was placed on statistical hypothesis testing (confirmatory data analysis); more emphasis needed to be placed on using data to suggest hypotheses to test.
99. Ebook Info. Published: 2010. Number of pages: 712 pages. Format: PDF. File Size: 7.24 MB. Authors: John Tukey. Description. The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries.
Exploratory data analysis (EDA), pioneered by John W. Tukey (1915–2000), introduces a variety of innovative techniques and combines them with five important principles of data analysis: display, re-expression, residuals, resistance, and iteration.
Veja mais avaliações. Compre online Exploratory Data Analysis, de Tukey, John W. na Amazon. Frete GRÁTIS em milhares de produtos com o Amazon Prime. Encontre diversos livros escritos por Tukey, John W. com ótimos preços.
Tukey says, the development of statistical inference is "one of the great intellectual products of our century." Yet, the procedures of statistical inference are often employed in inappropriate contexts, obscuring relationships which are latent in a set of data. It is the purpose of exploratory data analysis to.
