Advanced Statistical Methods Data (62 results)

XVI, 222 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. ICSA Book Series in Statistics. Sprache: Englisch.

Hardcover. Condition: Very Good. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.

Condition: New. pp. 712.

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. In today's data-driven world, the ability to extract insights from complex data sets is a critical skill for quality professionals. From Data to Insights - Advanced Statistical Methods provides a comprehensive guide to the latest statistical techniques and methodologies for analyzing and interpreting data, including advanced methods for data visualization, regression analysis, and hypothesis testing. By mastering the art of statistical analysis, readers will be able to extract valuable insights from their data, inform quality decisions, and drive business excellence. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In today's data-driven quality landscape, advanced statistical methods are essential for extracting insights from complex data sets. 'Advanced Statistical Methods for Complex Quality Data Sets' offers a comprehensive exploration of the latest statistical techniques and their applications in quality analysis. By examining the intricacies of data modeling, hypothesis testing, and confidence intervals, this book reveals the key to unlocking deeper understanding and improved decision-making. With a focus on practical implementation, 'Advanced Statistical Methods for Complex Quality Data Sets' is an essential resource for quality professionals seeking to stay ahead of the curve. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Analyzing Genomic Data with Advanced Statistical Methods focuses on the application of sophisticated statistical tools to interpret complex genetic information. It covers techniques such as multivariate analysis, Bayesian inference, and machine learning approaches tailored to high-dimensional genomic datasets. The book underscores the importance of rigorous statistical frameworks in identifying genetic variants, understanding gene expression patterns, and uncovering biological insights. It highlights the critical role of quantitative analysis in advancing personalized medicine and genomics research. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The analysis of genomic data is a rapidly evolving field that requires advanced statistical methods to extract meaningful insights from vast amounts of data. Analyzing Genomic Data with Advanced Statistical Methods offers a comprehensive exploration of the mathematical frameworks that govern genomic data analysis. By examining the intricate relationships between statistical modeling, machine learning, and computational biology, this book provides a rich foundation for developing cutting-edge genomic analysis algorithms. As researchers and practitioners seek to understand the complexities of genomic data, this book serves as a vital resource for developing accurate and interpretable models. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advanced Statistical Methods for Quantum Computing Data discusses specialized analytical techniques tailored for the probabilistic nature of quantum information. It covers statistical inference, error correction, and data analysis methods that are crucial for interpreting quantum computational results. The book emphasizes the role of advanced statistics in managing the uncertainties inherent in quantum systems. It provides a sophisticated overview of how statistical tools can optimize quantum data processing and improve the reliability of quantum algorithms. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Ecological data often presents significant challenges for statistical analysis, particularly when sample sizes are small. This book presents a comprehensive guide to advanced statistical methods for analyzing small sample ecological data, covering the key principles and techniques for creating effective and reliable statistical models. By exploring the intersection of statistics, ecology, and data analysis, readers will gain a deeper understanding of the complex relationships between data, models, and ecological systems, and be inspired to develop innovative approaches to ecological data analysis. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The analysis of rare disease data requires advanced statistical methods to identify patterns and trends. Advanced Statistical Methods for Rare Disease Data Analysis presents the latest research on the development of statistical models and methods for analyzing rare disease data. From Bayesian inference to machine learning, this book explores the cutting-edge approaches used to analyze and interpret rare disease data. By examining the properties and applications of advanced statistical methods in rare disease data analysis, researchers can develop innovative solutions for understanding the causes and consequences of rare diseases. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In today's data-driven world, alternative data sources are becoming increasingly important for businesses and organizations seeking to gain a competitive edge. This book explores the advanced statistical methods used to harness the power of alternative data, providing a comprehensive guide to the latest techniques and tools. By leveraging these methods, readers can unlock new insights and make more informed decisions. The book covers topics such as data preprocessing, feature engineering, and model selection, as well as the application of machine learning algorithms to alternative data. With a focus on practical implementation, this book is an essential resource for data scientists, analysts, and business professionals looking to stay ahead of the curve. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advanced Statistical Methods in Rare Disease Data Analysis presents a comprehensive examination of the innovative statistical methods that can improve the analysis of rare disease data. By exploring the complex relationships between statistical models, data analysis, and rare disease research, this book reveals the vast potential of advanced statistical methods in addressing the challenges of rare disease research. From the development of Bayesian models for rare disease data to the integration of machine learning algorithms with rare disease research, this guide offers a detailed analysis of the current state of the art in rare disease data analysis research. By shedding light on the complex interactions between statistical models, data analysis, and rare disease research, Advanced Statistical Methods in Rare Disease Data Analysis provides a compelling vision for the future of rare disease research and its applications in improving patient outcomes. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. This book provides a comprehensive introduction to advanced statistical methods for quality data mining, offering a rigorous and practical guide to the application of statistical techniques in quality data analysis. By examining the key concepts and techniques of statistical modeling, including regression analysis, time series analysis, and machine learning, the author reveals how companies can harness the power of data mining to drive quality improvement. With its clear explanations, real-world case studies, and practical examples, this book is an essential resource for anyone seeking to develop their skills in quality data mining. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advanced Statistical Methods in Rare Disease Data Analysis presents a thorough examination of the latest statistical techniques for analyzing rare disease data. This book provides a comprehensive review of the challenges and complexities of rare disease data analysis, highlighting the critical need for advanced statistical methods that can handle small sample sizes, missing data, and confounding variables. Through a detailed analysis of case studies and simulation experiments, the author explores the development of novel statistical methods, including machine learning algorithms, Bayesian modeling, and network analysis. By providing a statistical foundation for rare disease data analysis, this book empowers researchers, clinicians, and policymakers to better understand and manage rare diseases. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Data-driven decision making is critical for the success of quality control initiatives, and advanced statistical methods are essential for analyzing and interpreting data. Data-Driven Decision Making with Advanced Statistical Methods provides a comprehensive guide to the application of advanced statistical methods in quality control, including the key principles and best practices for designing and implementing data-driven decision making systems. The book explores the importance of data quality, the role of statistical process control, and the need for continuous monitoring and evaluation. By applying the insights and best practices presented in this book, quality professionals can create more effective and efficient quality control systems that improve product quality and reduce costs. This book is essential reading for anyone involved in quality control and data analysis in the manufacturing sector. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In the era of big data, quality professionals face increasingly complex data sets that demand sophisticated statistical analysis. Advanced Statistical Methods for Complex Quality Data Sets provides a cutting-edge guide to the latest statistical techniques and methodologies for analyzing complex data sets. This book explores advanced topics such as machine learning, deep learning, and Bayesian statistics, providing readers with the tools and expertise necessary to extract insights from large and complex data sets. By mastering these advanced statistical methods, quality professionals can identify patterns, trends, and correlations that inform data-driven decision-making. With its focus on practical applications and real-world examples, Advanced Statistical Methods for Complex Quality Data Sets equips readers with the skills and knowledge necessary to tackle the most challenging quality data sets. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.