The Outlier Approach

Download The Outlier Approach full books in PDF, epub, and Kindle. Read online The Outlier Approach ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Outlier Analysis

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319475789
Total Pages : 481 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Outlier Analysis by : Charu C. Aggarwal

Download or read book Outlier Analysis written by Charu C. Aggarwal and published by Springer. This book was released on 2016-12-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.

The Outlier Approach

Author : Kevin Hong
Publisher :
ISBN 13 : 9780692097274
Total Pages : 280 pages
Book Rating : 4.0/5 (972 download)

DOWNLOAD NOW!

Book Synopsis The Outlier Approach by : Kevin Hong

Download or read book The Outlier Approach written by Kevin Hong and published by . This book was released on 2018-03-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tired of cliché career advice? Learn The Outlier Approach! If you have no fancy pedigree, massive funding for your company, and weak professional contacts, this book can help you take your career to the next level. Although written for the nonconformists, many of the methodologies can be applied for anyone -Break into any industry with no connections -Create something with nothing by understanding how to exchange value using a "social spread" -Build a "vertical network" instead of a "horizontal network" (a.k.a frenemy zone) which may be limiting your career -Master how to use traditional media and receive unlimited press to grow your business or personal brand -Learn how to sell "vision" instead of "product" to win job interviews, raise money, and recruit superstars for your cause Too many books discuss the same people, same companies, and same concepts, resulting in cliché advice. One of the main reasons behind this phenomenon is due to the fact that so many books on business and professional development are written by authors with limited professional experience or are written by authors who share similar backgrounds. Furthermore, too many successful professionals lack writing experience, resulting in books that may have great content but poor narration. Kevin Hong, who is a columnist for Inc. Magazine, not only shares his experience working in Hollywood, Silicon Valley, and Wall Street, but also interviews and shares his experience working with high profile executives and entrepreneurs who have built their companies to nine or ten figures as well as Hollywood celebrities, YouTube celebrities, a former NBA star, and even a politician to share the most unorthodox ways of winning in one's career and business. Some of his highlights include working on a start-up lesson video which included Justin Kan, who sold his company Twitch for $1 billion, and other Silicon Valley elites as well as advising on film distribution for the film 'The 60 Yard-Line, which featured notable celebrities such as Randall Park and Chuck Liddell. He also managed to squeeze in an interview with Psy's adviser from Korea who helped Psy bridge a partnership with Scooter Braun, Justin Bieber's manager, to help make Gangnam Style into the viral video it became. Hong, who is now a C-Level executive of a subsidiary of a publicly traded company, built his last start-up up to a $15 million valuation and has shared his business advice by contributing articles for CNBC, Forbes, Huffington Post, Inc., Film Journal, Korea's Maeil news and various media outlets. The book, which is written in a unique style, does not try to "teach" you another lesson. The goal of the book is to illustrate "The Outlier Approach" by bringing in the reader into the experience opposed to explaining business concepts in a long drawn out lecture style. The book has an emphasis on character development and conflict in order to explain the "why" and "how" when certain strategies need to be applied in one's career. Ultimately, if you are not interested in walking a straight line or following textbook directions to succeed in your career, this book is for you. This book is for the oddballs, misfits, outliers, rebels, and nonconformists in all of us.

Advances in Knowledge Discovery and Data Mining

Author : Thanaruk Theeramunkong
Publisher : Springer
ISBN 13 : 3642013074
Total Pages : 1098 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Advances in Knowledge Discovery and Data Mining by : Thanaruk Theeramunkong

Download or read book Advances in Knowledge Discovery and Data Mining written by Thanaruk Theeramunkong and published by Springer. This book was released on 2009-04-21 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Outliers

Author : Apra Lipi
Publisher : Nova Science Publishers
ISBN 13 : 9781685075873
Total Pages : 154 pages
Book Rating : 4.0/5 (758 download)

DOWNLOAD NOW!

Book Synopsis Outliers by : Apra Lipi

Download or read book Outliers written by Apra Lipi and published by Nova Science Publishers. This book was released on 2022 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This brief monograph, in the broadest terms, reviews some of the techniques for outlier detection and analysis. In addition, the effect of the presence of outliers on the statistical parameters such as higher-order moments, quartiles, deciles, percentiles, skewness, and kurtosis, etc. of the distribution are studied. It also discusses the masking and swamping effect of outliers and some primitive methods of detecting these behaviors. Furthermore, some methods of detecting outliers in multivariate data using the clustering algorithm approach are also discussed"--

Identification of Outliers

Author : D. Hawkins
Publisher : Springer Science & Business Media
ISBN 13 : 9401539944
Total Pages : 194 pages
Book Rating : 4.4/5 (15 download)

DOWNLOAD NOW!

Book Synopsis Identification of Outliers by : D. Hawkins

Download or read book Identification of Outliers written by D. Hawkins and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 to bring them together in one place. That was the original intention of this monograph: but during execution it became clear that the existing theory of outliers was deficient in several areas, and so the monograph also contains a number of new results and conjectures. In view of the enormous volume ofliterature on the outlier problem and its cousins, no attempt has been made to make the coverage exhaustive. The material is concerned almost entirely with the use of outlier tests that are known (or may reasonably be expected) to be optimal in some way. Such topics as robust estimation are largely ignored, being covered more adequately in other sources. The numerous ad hoc statistics proposed in the early work on the grounds of intuitive appeal or computational simplicity also are not discussed in any detail.

Robust Regression and Outlier Detection

Author : Peter J. Rousseeuw
Publisher : John Wiley & Sons
ISBN 13 : 0471725374
Total Pages : 329 pages
Book Rating : 4.4/5 (717 download)

DOWNLOAD NOW!

Book Synopsis Robust Regression and Outlier Detection by : Peter J. Rousseeuw

Download or read book Robust Regression and Outlier Detection written by Peter J. Rousseeuw and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "The writing style is clear and informal, and much of thediscussion is oriented to application. In short, the book is akeeper." –Mathematical Geology "I would highly recommend the addition of this book to thelibraries of both students and professionals. It is a usefultextbook for the graduate student, because it emphasizes both thephilosophy and practice of robustness in regression settings, andit provides excellent examples of precise, logical proofs oftheorems. . . .Even for those who are familiar with robustness, thebook will be a good reference because it consolidates the researchin high-breakdown affine equivariant estimators and includes anextensive bibliography in robust regression, outlier diagnostics,and related methods. The aim of this book, the authors tell us, is‘to make robust regression available for everyday statisticalpractice.’ Rousseeuw and Leroy have included all of thenecessary ingredients to make this happen." –Journal of the American Statistical Association

Outlier Detection: Techniques and Applications

Author : N. N. R. Ranga Suri
Publisher : Springer
ISBN 13 : 3030051277
Total Pages : 214 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Outlier Detection: Techniques and Applications by : N. N. R. Ranga Suri

Download or read book Outlier Detection: Techniques and Applications written by N. N. R. Ranga Suri and published by Springer. This book was released on 2019-01-10 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.

Outlier Detection for Temporal Data

Author : Manish Gupta
Publisher : Morgan & Claypool Publishers
ISBN 13 : 162705376X
Total Pages : 131 pages
Book Rating : 4.6/5 (27 download)

DOWNLOAD NOW!

Book Synopsis Outlier Detection for Temporal Data by : Manish Gupta

Download or read book Outlier Detection for Temporal Data written by Manish Gupta and published by Morgan & Claypool Publishers. This book was released on 2014-03-01 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large number of applications generate temporal datasets. For example, in our everyday life, various kinds of records like credit, personnel, financial, judicial, medical, etc., are all temporal. This stresses the need for an organized and detailed study of outliers with respect to such temporal data. In the past decade, there has been a lot of research on various forms of temporal data including consecutive data snapshots, series of data snapshots and data streams. Besides the initial work on time series, researchers have focused on rich forms of data including multiple data streams, spatio-temporal data, network data, community distribution data, etc. Compared to general outlier detection, techniques for temporal outlier detection are very different. In this book, we will present an organized picture of both recent and past research in temporal outlier detection. We start with the basics and then ramp up the reader to the main ideas in state-of-the-art outlier detection techniques. We motivate the importance of temporal outlier detection and brief the challenges beyond usual outlier detection. Then, we list down a taxonomy of proposed techniques for temporal outlier detection. Such techniques broadly include statistical techniques (like AR models, Markov models, histograms, neural networks), distance- and density-based approaches, grouping-based approaches (clustering, community detection), network-based approaches, and spatio-temporal outlier detection approaches. We summarize by presenting a wide collection of applications where temporal outlier detection techniques have been applied to discover interesting outliers.

Outlier Ensembles

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319547658
Total Pages : 288 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Outlier Ensembles by : Charu C. Aggarwal

Download or read book Outlier Ensembles written by Charu C. Aggarwal and published by Springer. This book was released on 2017-04-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the design of ensemble algorithms for the latter problem. This book can be used for courses in data mining and related curricula. Many illustrative examples and exercises are provided in order to facilitate classroom teaching. A familiarity is assumed to the outlier detection problem and also to generic problem of ensemble analysis in classification. This is because many of the ensemble methods discussed in this book are adaptations from their counterparts in the classification domain. Some techniques explained in this book, such as wagging, randomized feature weighting, and geometric subsampling, provide new insights that are not available elsewhere. Also included is an analysis of the performance of various types of base detectors and their relative effectiveness. The book is valuable for researchers and practitioners for leveraging ensemble methods into optimal algorithmic design.

Volume 16: How to Detect and Handle Outliers

Author : Boris Iglewicz
Publisher : Quality Press
ISBN 13 : 0873892607
Total Pages : 99 pages
Book Rating : 4.8/5 (738 download)

DOWNLOAD NOW!

Book Synopsis Volume 16: How to Detect and Handle Outliers by : Boris Iglewicz

Download or read book Volume 16: How to Detect and Handle Outliers written by Boris Iglewicz and published by Quality Press. This book was released on 1993-01-08 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outliers are the key focus of this book. The authors concentrate on the practical aspects of dealing with outliers in the forms of data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments. Available only as an E-Book.

Detecting Outliers

Author : Vijendra Singh
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659391842
Total Pages : 64 pages
Book Rating : 4.3/5 (918 download)

DOWNLOAD NOW!

Book Synopsis Detecting Outliers by : Vijendra Singh

Download or read book Detecting Outliers written by Vijendra Singh and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents an integrated outlier detection method, which is named "An Approach to Detect Outlier by Integrating Univariate Outlier Detection and K-means Algorithm." It provides efficient outlier detection and data clustering capabilities in the presence of outliers, and based on filtering of the data after univariate analysis. This algorithm is divided into two stages. The first stage provides Univariate outlier analysis. The main objective of the second stage is an iterative removal of objects, which are far away from their cluster centroids by applying K-means algorithm. The removal occurs according to the minimisation of the value of sum of the distances of all the points to their respective centroid in all the clusters. Finally, we provide experimental results from the application of our algorithm on several datasets to show its effectiveness and usefulness. The empirical results indicate that the proposed method was successful in detecting outliers and promising in practice.

Outlier Detection Methods

Author : Özlem Gürünlü Alma
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783838318479
Total Pages : 156 pages
Book Rating : 4.3/5 (184 download)

DOWNLOAD NOW!

Book Synopsis Outlier Detection Methods by : Özlem Gürünlü Alma

Download or read book Outlier Detection Methods written by Özlem Gürünlü Alma and published by LAP Lambert Academic Publishing. This book was released on 2010-06 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outlier, abnormal or unusual observation can be defined as an observation that lies outside the overall pattern of a distribution. Diagnostic methods for identifying a single outlier or influential observation in a linear regression model are relatively simple from both analytical and computational points of view. However, if the data set contains more than one outlier, which is likely to be the case in most data sets, the problem of identifying such observations becomes more difficult because of the masking and swamping effects. A GA was allowed simultaneous detection of outliers in data sets. Thus, this method is to overcome the problems of masking and swamping effects. It is derived additional penalized value of information criteria for Akaike Information Criterion (AIC) and Information Complexity Criterion (ICOMP) and named as AIC' and ICOMP' respectively in this study. The numerical example and simulation results clearly show a much improved performance of the proposed approach in comparison to existing method especially followed by applying the ICOMP' approach in order to accurately (robustly) detect the outliers.

Secondary Analysis of Electronic Health Records

Author : MIT Critical Data
Publisher : Springer
ISBN 13 : 3319437429
Total Pages : 435 pages
Book Rating : 4.3/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Secondary Analysis of Electronic Health Records by : MIT Critical Data

Download or read book Secondary Analysis of Electronic Health Records written by MIT Critical Data and published by Springer. This book was released on 2016-09-09 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Liars and Outliers

Author : Bruce Schneier
Publisher : John Wiley & Sons
ISBN 13 : 1118239016
Total Pages : 387 pages
Book Rating : 4.1/5 (182 download)

DOWNLOAD NOW!

Book Synopsis Liars and Outliers by : Bruce Schneier

Download or read book Liars and Outliers written by Bruce Schneier and published by John Wiley & Sons. This book was released on 2012-01-27 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's hyper-connected society, understanding the mechanisms of trust is crucial. Issues of trust are critical to solving problems as diverse as corporate responsibility, global warming, and the political system. In this insightful and entertaining book, Schneier weaves together ideas from across the social and biological sciences to explain how society induces trust. He shows the unique role of trust in facilitating and stabilizing human society. He discusses why and how trust has evolved, why it works the way it does, and the ways the information society is changing everything.

Pattern Recognition and Data Analysis with Applications

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 9811915202
Total Pages : 816 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Pattern Recognition and Data Analysis with Applications by : Deepak Gupta

Download or read book Pattern Recognition and Data Analysis with Applications written by Deepak Gupta and published by Springer Nature. This book was released on 2022-09-01 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG).

Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques

Author : H. Fujita
Publisher : IOS Press
ISBN 13 : 1643680137
Total Pages : 770 pages
Book Rating : 4.6/5 (436 download)

DOWNLOAD NOW!

Book Synopsis Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques by : H. Fujita

Download or read book Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques written by H. Fujita and published by IOS Press. This book was released on 2019-09-17 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software has become ever more crucial as an enabler, from daily routines to important national decisions. But from time to time, as society adapts to frequent and rapid changes in technology, software development fails to come up to expectations due to issues with efficiency, reliability and security, and with the robustness of methodologies, tools and techniques not keeping pace with the rapidly evolving market. This book presents the proceedings of SoMeT_19, the 18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, held in Kuching, Malaysia, from 23–25 September 2019. The book explores new trends and theories that highlight the direction and development of software methodologies, tools and techniques, and aims to capture the essence of a new state of the art in software science and its supporting technology, and to identify the challenges that such a technology will have to master. The book also investigates other comparable theories and practices in software science, including emerging technologies, from their computational foundations in terms of models, methodologies, and tools. The 56 papers included here are divided into 5 chapters: Intelligent software systems design and techniques in software engineering; Machine learning techniques for software systems; Requirements engineering, software design and development techniques; Software methodologies, tools and techniques for industry; and Knowledge science and intelligent computing. This comprehensive overview of information systems and research projects will be invaluable to all those whose work involves the assessment and solution of real-world software problems.

Introduction to Statistical Analysis of Laboratory Data

Author : Alfred Bartolucci
Publisher : John Wiley & Sons
ISBN 13 : 1118736834
Total Pages : 256 pages
Book Rating : 4.1/5 (187 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Statistical Analysis of Laboratory Data by : Alfred Bartolucci

Download or read book Introduction to Statistical Analysis of Laboratory Data written by Alfred Bartolucci and published by John Wiley & Sons. This book was released on 2015-11-02 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions