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Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031323297 ISBN 13: 9783031323294
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Hardcover. Condition: new. Hardcover. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Several novel topics are discussed including the recursive algorithm for sample variance; simplification of complicated summation expressions; updating formulas for sample geometric, harmonic and weighted means; divide-and-conquer algorithms for sample variance and covariance; L-skewness; spectral kurtosis, etc. A large number of exercises are included in each chapter that are drawn from various engineering fields along with examples that are illustrated using the R programming language. Basic concepts are introduced before moving on to computational aspects. Some applicationsin bioinformatics, finance, metallurgy, pharmacokinetics (PK), solid mechanics, and signal processing are briefly discussed. Every analyst who works with numeric data will find the discussion very illuminating and easy to follow. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer International Publishing AG, 2023
ISBN 10: 3031323297 ISBN 13: 9783031323294
Language: English
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Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031323327 ISBN 13: 9783031323324
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Paperback. Condition: new. Paperback. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Several novel topics are discussed including the recursive algorithm for sample variance; simplification of complicated summation expressions; updating formulas for sample geometric, harmonic and weighted means; divide-and-conquer algorithms for sample variance and covariance; L-skewness; spectral kurtosis, etc. A large number of exercises are included in each chapter that are drawn from various engineering fields along with examples that are illustrated using the R programming language. Basic concepts are introduced before moving on to computational aspects. Some applicationsin bioinformatics, finance, metallurgy, pharmacokinetics (PK), solid mechanics, and signal processing are briefly discussed. Every analyst who works with numeric data will find the discussion very illuminating and easy to follow. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 3031323327 ISBN 13: 9783031323324
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Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031323297 ISBN 13: 9783031323294
Language: English
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Condition: New. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis absolute and relative measures.
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ISBN 10: 3031323327 ISBN 13: 9783031323324
Language: English
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Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031323327 ISBN 13: 9783031323324
Language: English
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Paperback. Condition: new. Paperback. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Several novel topics are discussed including the recursive algorithm for sample variance; simplification of complicated summation expressions; updating formulas for sample geometric, harmonic and weighted means; divide-and-conquer algorithms for sample variance and covariance; L-skewness; spectral kurtosis, etc. A large number of exercises are included in each chapter that are drawn from various engineering fields along with examples that are illustrated using the R programming language. Basic concepts are introduced before moving on to computational aspects. Some applicationsin bioinformatics, finance, metallurgy, pharmacokinetics (PK), solid mechanics, and signal processing are briefly discussed. Every analyst who works with numeric data will find the discussion very illuminating and easy to follow. This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.