Outliers

• Author : Malcolm Gladwell
• Publisher : Hachette UK
• Release : 18 November 2008

From the bestselling author of The Bomber Mafia, learn what sets high achievers apart—from Bill Gates to the Beatles—in this seminal work from "a singular talent" (New York Times Book Review). In this stunning book, Malcolm Gladwell takes us on an intellectual journey through the world of "outliers"—the best and the brightest, the most famous and the most successful. He asks the question: what makes high-achievers different? His answer is that we pay too much attention to

• Author : D. Hawkins
• Publisher : Springer Science & Business Media
• Release : 17 April 2013

The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones. The major results are, however, scattered amongst many journal articles, and for some time there has been a clear need

• Author : Paweł D. Domański,YangQuan Chen,Maciej Ławryńczuk
• Publisher : Walter de Gruyter GmbH & Co KG
• Release : 07 March 2022

Outliers play an important, though underestimated, role in control engineering. Traditionally they are unseen and neglected. In opposition, industrial practice gives frequent examples of their existence and their mostly negative impacts on the control quality. The origin of outliers is never fully known. Some of them are generated externally to the process (exogenous), like for instance erroneous observations, data corrupted by control systems or the effect of human intervention. Such outliers appear occasionally with some unknow probability shifting real value

• Author : 50MINUTES,
• Publisher : 50Minutes.com
• Release : 04 April 2019

It can be hard for busy professionals to find the time to read the latest books. Stay up to date in a fraction of the time with this concise guide. Outliers: The Story of Success is an engaging, thought-provoking look at the external factors that can determine an individual’s personal success. Through a series of carefully selected anecdotes about highly successful individuals, Malcolm Gladwell sets out to disprove the myth of the self-made man by illustrating the opportunities, advantages

• Author : Ram Swaroop
• Publisher : Unknown
• Release : 07 July 1971

A statistical technique and the necessary computer program for editing multivariate data are presented. The technique is particularly useful when large quantities of data are collected and the editing must be performed by automatic means. One task in the editing process is the identification of outliers, or observations which deviate markedly from the rest of the sample. A statistical technique, and the related computer program, for identifying the outliers in univariate data was presented in NASA TN D-5275. The current

• Author : Xiaochun Wang,Xiali Wang,Mitch Wilkes
• Publisher : Springer Nature
• Release : 24 November 2020

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of unsupervised outlier detection in general; distance-based and density-based outlier detection in particular; and the applications of the latest findings to boundary point detection and novel object detection. The book also offers a new perspective on bridging the

• Author : Anonim
• Publisher : Elsevier
• Release : 02 May 2005

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering,

• Author : Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
• Publisher : John Wiley & Sons
• Release : 15 March 2021

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about

• Author : John G. Webster,Halit Eren
• Publisher : CRC Press
• Release : 19 December 2017

The Second Edition of the bestselling Measurement, Instrumentation, and Sensors Handbook brings together all aspects of the design and implementation of measurement, instrumentation, and sensors. Reflecting the current state of the art, it describes the use of instruments and techniques for performing practical measurements in engineering, physics, chemistry, and the life sciences and discusses processing systems, automatic data acquisition, reduction and analysis, operation characteristics, accuracy, errors, calibrations, and the incorporation of standards for control purposes. Organized according to measurement problem,

• Author : Nandi Dr. Rupam Dr. Gypsy, Kumar Sharma
• Publisher : BPB Publications
• Release : 03 September 2020

Learn how to process and analysis data using Python Key Features a- The book has theories explained elaborately along with Python code and corresponding output to support the theoretical explanations. The Python codes are provided with step-by-step comments to explain each instruction of the code. a- The book is quite well balanced with programs and illustrative real-case problems. a- The book not only deals with the background mathematics alone or only the programs but also beautifully correlates the background mathematics

• Author : Howard Mark
• Publisher : John Wiley & Sons
• Release : 16 April 1992

Dealing with the principles of calibration--both the theoretical and mathematical constructs which relate features of calibration equations to the physical phenomena that affect instruments and samples used on generating information. Among derivations in leading spectroscopic and statistical literature, numerous necessary mathematical derivations have been specifically designed for this book. Covers the practical aspects of generating a calibration equation including how to recognize and deal with various types of problems affecting calibration dataset, relating theoretical ideas, and their affect on data

• Author : Jussi Tolvi
• Publisher : Unknown
• Release : 07 July 2022

• Author : Anonim
• Publisher : Unknown
• Release : 07 July 2022

Special edition of the Federal Register, containing a codification of documents of general applicability and future effect ... with ancillaries.

• Author : Donn T. Bayard
• Publisher : Unknown
• Release : 07 July 1976

• Author : Regina Kaiser,Agustin Maravall
• Publisher : Springer Science & Business Media
• Release : 17 November 2000

This book outlines and demonstrates problems with the use of the HP filter, and proposes an alternative strategy for inferring cyclical behavior from a time series featuring seasonal, trend, cyclical and noise components. The main innovation of the alternative strategy involves augmenting the series forecasts and back-casts obtained from an ARIMA model, and then applying the HP filter to the augmented series. Comparisons presented using artificial and actual data demonstrate the superiority of the alternative strategy.