Pawlowsky Glahn Vera (76 results)

Hardcover. Condition: Very Good. 1st Edition. Hardcover, xvii + 247 pages, NOT ex-library. A clean and bright copy with unmarked text and firm binding, free of inscriptions and stamps. Boards show gentle external wear. Published without a dust jacket. -- Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, as well as data and a solutions manual which is available on an accompanying website. Complementing Pawlowsky-Glahn's earlier collective text that provides an overview of the state-of-the-art in this field, the book fills a gap in the literature for a much-needed manual for teaching, self learning or consulting. -- Contents: 1 Introduction 2 Compositional Data and Their Sample Space [Basic concepts; Principles of compositional analysis; Zeros, missing values, and other irregular components; Exercises] 3 The Aitchison Geometry [General comments; Vector space structure; Inner product, norm and distance; Geometric figures; Exercises] 4 Coordinate Representation [Introduction; Compositional observations in real space; Generating systems; Orthonormal coordinates; Balances; Working on coordinates; Additive logratio coordinates (alr); Orthogonal projections; Matrix operations in the simplex; Coordinates leading to alternative Euclidean structures; Exercises] 5 Exploratory Data Analysis [General remarks; Sample center, total variance, and variation matrix; Centering and scaling; Biplot: a graphical display; Exploratory analysis of coordinates; A geological example; Linear trends along principal components; A nutrition example; A political example; Exercises] 6 Random Compositions [Sample space; Variability and center; Probability distributions on the simplex; Exercises] 7 Statistical Inference [Point estimation of center and variability; Testing hypotheses on compositional normality; Testing hypotheses about two populations; Probability and confidence regions for normal data; Bayesian estimation with count data; Exercises] 8 Linear Models [Linear regression with compositional response; Regression with compositional covariates; Analysis of variance with compositional response; Linear discrimination with compositional predictor; Exercises] 9 Compositional Processes [Linear processes; Mixture processes; Settling processes; Simplicial derivative; Elementary differential equations; Exercises] 10 Epilogue; References; Appendix A Practical Recipes [Plotting a ternary diagram; Parameterization of an elliptic region; Matrix expressions of change of representation]; App B Random Variables [Probability spaces and random variables; Description of probability]; Author & General Index.…

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: new.

Condition: New.

Condition: New.

Hardcover. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New. In English.

Condition: New. Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Series: Statistics in Practice. Num Pages: 272 pages. BIC Classification: PBT; UNC. Category: (P) Professional & Vocational. Dimension: 159 x 235 x 19. Weight in Grams: 476. . 2015. 1st Edition. Hardcover. . . . .…

Condition: New. pp. 272.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. In English.

Hardback. Condition: New. It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis.Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures.Looks at advances in algebra and calculus on the simplex.Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics.Explores connections to correspondence analysis and the Dirichlet distribution.Presents a summary of three available software packages for compositional data analysis.Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data.…

Condition: New. pp. 272 Index.

Condition: New. pp. 400.

Condition: New. It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. Editor(s): Pawlowsky-Glahn, Vera; Buccianti, Antonella. Num Pages: 400 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 178 x 251 x 25. Weight in Grams: 842. . 2011. 1st Edition. Hardcover. . . . .…

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Condition: New. pp. 400 Index.

Condition: New. Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Series: Statistics in Practice. Num Pages: 272 pages. BIC Classification: PBT; UNC. Category: (P) Professional & Vocational. Dimension: 159 x 235 x 19. Weight in Grams: 476. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Condition: New.

Hardcover. Condition: new. Hardcover. In the summer of 1970, Georges Matheron, the father of geostatistics, presented a series of lectures at the Centre de Morphologie Mathmatique in France. These lectures would go on to become Matheron's Theory of Regionalized Variables, a seminal work that would inspire hundreds of papers and become the bedrock of numerous theses and books on the topic; however, despite their importance, the notes were never formally published.In thisvolume, Matheron's influential work is presented as a published book for the first time. Originally translated into English by Charles Huijbregts, and carefully curated here, this book stays faithful toMatheron's original notes. The text has been ordered with a common structure, and equations and figures have been redrawn and numbered sequentially for ease of reference.While not containing any mathematical technicalities or case studies, the reader is invited to wonder about the physical meaning of the notions Matheron deals with. When Matheron wrote them, he considered the theory of linear geostatistics complete and the book his final one on the subject; however, thisend for Matheron has been the starting point for most geostatisticians. In Matheron's Theory of Regionalized Variables, Matheron's influential work is presented as a published book for the first time. Translated into English by Charles Huijbregts, this book stays faithful to Matheron's original notes. This book would be a valuable addition to the shelves of every practitioner of geostatistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. Editor(s): Pawlowsky-Glahn, Vera; Buccianti, Antonella. Num Pages: 400 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 178 x 251 x 25. Weight in Grams: 842. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Condition: New.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

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Condition: New. 2019. Hardcover. . . . . .