The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis. Unfortunately, in spite of the awareness, the conversion of the intrigue to the practical knowledge in...Loe edasi...
Statistical Analysis Techniques provides a practical guide to statistical analysis using SPSS software. Covering both basic and advanced methods like regression and ANOVA, it bridges theory and practice with real-world business examples. Ideal for s...Loe edasi...
Building on the foundation established in volume 1 of Statistical Analysis Techniques, this second volume delves deeper into advanced statistical techniques, providing comprehensive guidance for students and researchers working with SPSS Statistical...Loe edasi...
This self-contained book is the first of a two-volume set providing a thorough introduction to quantitative finance, covering both theoretical and computational methods. This volume covers stochastic analysis, option pricing theory, optimal portfo...Loe edasi...
This book introduces how the rapid advancement of artificial intelligenceAI is transforming the field of materials informatics, viz., AI+ materials. Around the world, self-driving materials laboratories and robotic systemsthe hard foundation of this...Loe edasi...
In this book we argue for the need for a new approach to data provenance and explain how recent advancements in data processing workflow automation present an opportunity to address this need. We introduce descriptive dataflow operators - a novel ap...Loe edasi...
This book shows how to conduct statistical power analysis when the underlying research data are unreliable and explores how sample design effects, measurement error, and equating error impact power analysis. As such, it covers unreliability in test...Loe edasi...
Sari: Cambridge Series in Statistical and Probabilistic Mathematics
(Ilmumisaeg: 31-May-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009651721)
This text explains how to build and analyze plausible models for random networks, and how to use statistics for validating such models, for detecting unusual features in the data, and for making predictions. It uniquely balances mathematical rigour...Loe edasi...
This proceedings volume presents a collection of fifteen peer-reviewed and expanded articles based on expert talks delivered at two workshops held in September 2023: the RIMS Symposium on Analysis, Geometry and Stochastics on Metric Spaces at the Re...Loe edasi...
This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an i...Loe edasi...
(Ilmumisaeg: 31-May-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009630689)
This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an i...Loe edasi...
(Ilmumisaeg: 31-May-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009702812)
This concise modern introduction to regression covers a wide range of topics and contemporary applications, including high-dimensional regression and causal inference, with concision and clarity. Suitable for advanced undergraduate and beginning gra...Loe edasi...
Ergodic theory provides a powerful lens for understanding dynamical systems, recasting disordered and seemingly random behavior in the language of probability theory. This book offers a concise, rigorous introduction to the subje...Loe edasi...
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As bef...Loe edasi...
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As bef...Loe edasi...
This book provides a multidisciplinary exploration of master protocol clinical trials, blending clinical, statistical, regulatory, operational, economic insights and patients perspectives. It examines both opportunities and challenges in design an...Loe edasi...
This book provides a multidisciplinary exploration of master protocol clinical trials, blending clinical, statistical, regulatory, operational, economic insights and patients perspectives. It examines both opportunities and challenges in design an...Loe edasi...
Offers a rigorous, comprehensive, and modern presentation of the most traditional concepts in measure theory and integration. Building on the classical foundations, it introduces the theory with full generality and meticulous attention to detail,...Loe edasi...
The book presents real-life applications of Data Science and Big Data for Sustainable Development Goals. It includes a list of case studies from different regions across India. The book uses both structured and unstructured data like numeric data,...Loe edasi...
