171 Results for : outlier

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    Outlier Detection Based On Clustering Over Sensed Data Using HADOOP
    Outlier Detection Based On Clustering Over Sensed Data Using HADOOP ab 35.99 € als Taschenbuch: . Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,
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    • Price: 35.99 EUR excl. shipping
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    SGR: A New Kernel for Outlier Detection in Multi-variate Sensor Data
    SGR: A New Kernel for Outlier Detection in Multi-variate Sensor Data ab 49.99 € als Taschenbuch: . Aus dem Bereich: Bücher, Wissenschaft, Mathematik,
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    • Price: 49.99 EUR excl. shipping
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    Performance of Image Fusion and Outlier Detection via LSC on a CSVLS
    Performance of Image Fusion and Outlier Detection via LSC on a CSVLS ab 45.99 € als Taschenbuch: . Aus dem Bereich: Bücher, Wissenschaft, Technik,
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    • Price: 45.99 EUR excl. shipping
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    The LORELIA Residual Test
    Method comparison studies are performed in order to prove equivalence between two measurement methods or instruments. The identification of outliers is an important part of data analysis as outliers can indicate serious errors in the measurement process. Common outlier tests proposed in the literature require a homogeneous sample distribution and homoscedastic random error variances. However, datasets in method comparison studies usually do not meet these assumptions. To overcome this problem, different data transformation methods are proposed in the literature. However, they will only be applicable if the random errors can be described by simple additive or multiplicative models. In this work, a new outlier test based on robust linear regression is proposed which provides a general solution to the above problem. The LORELIA (LOcal RELIAbility) residual test is based on a local, robust residual variance estimator, given as a weighted sum of the observed residuals. Outlier limits are estimated from the actual data situation without making assumptions on the underlying error variance model. The performance of the new test is demonstrated in examples and simulations.
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    • Price: 92.50 EUR excl. shipping
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    Outliers in Control Engineering
    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 often to some strange and nonsense value. They are frequently called deviants, anomalies or contaminants. In most cases we are interested in their detection and removal. However, there exists the second kind of outliers. Quite often strange looking data observations are not artificial data occurrences. They may be just representatives of the underlying generation mechanism being inseparable internal part of the process (endogenous outliers). In such a case they are not wrong and should be treated with cautiousness, as they may include important information about the dynamic nature of the process. As such they cannot be neglected nor simply removed. The Outlier should be detected, labelled and suitably treated. These activities cannot be performed without proper analytical tools and modeling approaches. There are dozens of methods proposed by scientists, starting from Gaussian-based statistical scoring up to data mining artificial intelligence tools. The research presented in this book presents novel approach incorporating non-Gaussian statistical tools and fractional calculus approach revealing new data analytics applied to this important and challenging task. The proposed book includes a collection of contributions addressing different yet cohesive subjects, like dynamic modelling, classical control, advanced control, fractional calculus, statistical analytics focused on an ultimate goal: robust and outlier-proof analysis. All studied problems show that outliers play an important role and classical methods, in which outlier are not taken into account, do not give good results. Applications from different engineering areas are considered such as semiconductor process control and monitoring, MIMO peltier temperature control and health monitoring, networked control systems, and etc.
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    • Price: 149.95 EUR excl. shipping
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    Strategic Innovation
    Strategic Innovation ab 31.99 € als epub eBook: The Definitive Guide to Outlier Strategies. Aus dem Bereich: eBooks, Wirtschaft,
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    • Price: 31.99 EUR excl. shipping
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    Why Me?
    Why Me? ab 169.99 € als Taschenbuch: The Luck of the Outlier. Aus dem Bereich: Bücher, Taschenbücher, Wirtschaft & Soziales,
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    • Price: 169.99 EUR excl. shipping
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    India and the Nuclear Non-Proliferation Regime
    India and the Nuclear Non-Proliferation Regime ab 93.49 € als pdf eBook: The Perennial Outlier. Aus dem Bereich: eBooks, Belletristik, Erzählungen,
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    • Price: 93.49 EUR excl. shipping
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    Regression Analysis Recipes
    Use regression analysis tools to solve problems in Python and R. This book provides problem-solving solutions in Python and R using familiar datasets such as Iris, Boston housing data, King County House dataset, etc.You'll start with an introduction to the various methods of regression analysis and techniques to perform exploratory data analysis. Next, you'll review problems and solutions on different regression techniques with building models for better prediction. The book also explains building basic models using linear regression, random forest, decision tree, and other regression methods. It concludes with revealing ways to evaluate the models, along with a brief introduction to plots. Each example will help you understand various concepts in data science. You'll develop code in Python and R to solve problems using regression methods such as linear regression, support vector regression, random forest regression. The book also provides steps to get details about Imputation methods, PCA, variance measures, CHI2, correlation, train and test models, outlier detection, feature importance, one hot encoding, etc.Upon completing Regression Analysis Recipes, you will understand regression analysis tools and techniques and solve problems in Python and R.What You'll LearnPerform regression analysis on data using Python and RUnderstand the different kinds of regression methodsUse Python and R to perform exploratory data analysis such as outlier detection, imputation on different types of datasetsReview the different libraries in Python and R utilized in regression analysisWho This Book Is ForSoftware Professionals who have basic programming knowledge about Python and R
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    • Price: 38.49 EUR excl. shipping
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    Living of Natural Causes (eBook, ePUB)
    Who says a coming-of-age saga can't extend well into your thirties? In these 12 humor-laced personal essays, Kadzi Mutizwa (a midwestern New Yorker) reflects on her trajectory as a high(ish)-functioning outlier. Themes taken up include mounting self-awareness, facing your foibles and failures, not giving up while becoming more measured about giving in, sucking at yoga, and gradually rising into your full authenticity. All this from a woman who, among other things, refuses to wear makeup. Living of Natural Causes is about recognizing how complex each of us are and should be.
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    • Price: 5.49 EUR excl. shipping

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