This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a wo...Lasīt vairāk
(Izdošanas datums: 01-May-2025, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009221856)
This book introduces relevant and established data-driven modeling tools currently in use or in development, which will help readers master the art and science of constructing models from data and dive into different application areas. It presents st...Lasīt vairāk
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forest...Lasīt vairāk
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterm...Lasīt vairāk
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterm...Lasīt vairāk
Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling outlines key knowledge in this area, combining critical introductory approaches with the latest advanced techniques. Beginning with an...Lasīt vairāk
This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples. Statistical Learning using Neural Networks...Lasīt vairāk
Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite popula...Lasīt vairāk
This book provides a thorough literature review on Multivariate Process Capability Indices. It discusses the various aspects and methodologies associated with the subject in one place. Several real-life data sets have been used to show the applica...Lasīt vairāk
Multiple Imputation in Practice: With Examples Using IVEware provides practical guidance on multiple imputation analysis, from simple to complex problems using real and simulated data sets. Data sets from cross-sectional, retrospe...Lasīt vairāk
This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples. Statistical topics covered include multivariate statistics (Clus...Lasīt vairāk
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their perfo...Lasīt vairāk
(Izdošanas datums: 20-May-2020, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119549932)
A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R...Lasīt vairāk
(Izdošanas datums: 27-Mar-2020, Other digital carrier, Izdevniecība: Wiley-Blackwell, ISBN-13: 9781119549963)
A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R...Lasīt vairāk
Sērija : Wiley Series in Probability and Statistics
(Izdošanas datums: 21-Nov-2019, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119422709)
Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates...Lasīt vairāk
(Izdošanas datums: 09-Nov-2018, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119465812)
Šī grāmata vairs netiek publicēta. Jums tiks paziņota lietotas grāmatas cena
Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data,...Lasīt vairāk
Multiple Imputation in Practice: With Examples Using IVEware provides practical guidance on multiple imputation analysis, from simple to complex problems using real and simulated data sets. Data sets from cross-sectional, retrospe...Lasīt vairāk
Kathleen F. Weaver, Vanessa C. Morales, Sarah L. Dunn, Kanya Godde, Pablo F. Weaver
(Izdošanas datums: 26-Sep-2017, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119299684)
Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into the techniques and interpretations of R, SPSS®, Excel®, and Numbers® outpu...Lasīt vairāk
