Multidimensional Data Visualization

This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric specification. A final section treats graphical and numerical methods of specification testing. This is the first published exposition of current econometric methods for the study of duration data.

Data Fitting in the Chemical Sciences Peter Gans, School of Chemistry, The University of Leeds, Leeds, UK Data fitting is a technique of central importance in modern experimental science. It is the me

This volume provides a basic framework for using visual data - namely still photographs - as a tool for social analysis. The authors determine the importance of theoretical assumptions in analyzing th

Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be comp

This book is a digital electronics text focused on 'how to' design, build, operate and adapt data acquisition systems. The book is intended to serve people whose goals include teaching or learning one or more of the following: digital electronics, circuit design for computer expansion slots, software which interacts with outside hardware, the process of computer based data acquisition, and the design, adaptation, construction and testing of measurement systems. The fundamental idea of the book is that parallel I/O ports (available for all popular computers) offer a superior balance of simplicity, low cost, speed, flexibility and adaptability.

In this book, Linda Seger shows how to create strong, multidimensional characters in fiction, covering everything from research to character block. Interviews with today's top writers complete this e

Explicates the many analytical techniques and computer programs available to extract biological information from the radio tracking data. Presents software programs for solving specific problems, and

The Statistical Analysis of Discrete Data provides an up-to-date introduction to methods for analyzing discrete data. The text covers both single-sample problems and problems with structured means whi

Principal authors: U. Kroszynski, B. Palstr9Sm 1.1 The evolution of concepts and specifications for CAD data exchange The CAD/CAM community has witnessed, during the last decade, the appearance of sev

The book supplements Guidelines for Chemical Process Quantitative Risk Analysis by providing the failure rate data needed to perform a chemical process quantitative risk analysis.

Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details

This monograph reviews some of the work that has been done for longitudi- nal data in the rapidly expanding field of nonparametric regression. The aim is to give the reader an impression of the basic

Random Signals, Noise and Filtering develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important areas: (1) fundamen

If you have ever wished you could show children and teenagers how to enrich their lives with meditation and visualization, this book will delight you. It presents simple exercises in guided imagery de

Data collection in the field, whether by interviewing or other methods, can be carried out in a structured, systematic and scientific way. This volume compels field researchers to take very seriously

Here is a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, for examining differences between groups, and for examining relationships between

A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand,

An introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis -- with numerous social science examples.

The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are

Two mainstreams intermingle in this treatment of practical statistics: (a) a sequence of philosophical attitudes the student needs for effective data analysis, and (b) a flow of useful and adaptable t

Here in one source is a wide variety of practical, everyday information often required by chemists but seldom found together, if at all, in the standard handbooks, data collections, manuals, and other

Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was k

Two-time winner of the best Computer Science and Engineering textbook of the year award from the Textbook and Academic Authors Association For a one/two-semester courses in Computer Networks, Data Com

Taiwan Statistical Data Book 2017

The key to Williams' mystically oriented theological thought, Descent into Hell (arguably Williams' greatest novel) is a multidimensional story about human beings who shut themselves up in their own n

The assembly of an archive of longitudinal data on the world's nation-states was undertaken by the Center for Comparative Political Research in 1968, with computer-facilitated procedures for the stora

This book describes in detail a research project dedicated to liquid-particle flow using ultrasound techniques. The project consists of theoretical, experimental, data science, finite element modeling, mechanical design and project management components. The objective of the project was to develop the ultrasonic methodology for measurement and characterization of liquid flow containing solid particles, in online (real-time) measurement conditions. The project consists of primary and complementary studies. The primary studies comprise development of the ultrasonic methodology for the simultaneous measurement of the average particle concentration and flow speed parameters. The developed methodology is based on the ultrasonic attenuation spectroscopy and the sound speed measurement methods, supported by data science programs. The complementary studies include acoustic streaming, designing a small-scale rotational test cell with an annular flow channel, testing it for various applications

This book constitutes the refereed post-conference proceedings of the 5th International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2024, which took place December 7-8, 2024, in Leicester, UK. The conference aims to provide a forum for presentation and discussion the state-of-art and future perspectives of Internet of Things and big data of health care. Industry experts, researchers and academics gather to share ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions and research results, as well as initiatives related to IoT and health care, and their applications. The topic focuses on the convergence of IoT and big data technologies for e-health, e-care, lifestyle, aging population, smart personal living, etc., applications.

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.

Unlock the full potential of your qualitative research projects with this invaluable manual from world-renowned authority Johnny Saldaña. This essential guide delves into the latest advancements in coding, including the integration of AI tools like ChatGPT-4, empowering researchers to enhance their data analysis processes and outcomes. This clearly updated edition offers:· Comprehensive Coverage: Explore over 35 coding methods, complete with datasets, software screenshots, and multidisciplinary academic references.· Global Appeal: Designed for an international readership, with inclusive data and real-world examples. · Practical Guidance: Clear, academically grounded advice that bridges the gap between data generation and analysis, ensuring credibility and trustworthiness. · Modern Relevance: Facilitates both manual and online coding, with detailed insights into CAQDAS and digital data handling.Ideal for students, researchers, and professionals in education, the social sciences, and bey

Turn Excel into an unstoppable data-and number-crunching machine Microsoft Excel is the Swiss Army knife of apps. With over 470 built-in functions and countless custom formulas, the program can help make you the smartest guy or gal in any room. And now that it's been supercharged with Copilot—Microsoft's AI-powered helper—it's even easier to produce accurate and useful results anywhere, anytime.Best of all, it doesn't take an advanced degree in mathematics or data science to take full advantage of Excel's functionality. Just grab a copy of this latest edition of Excel Formulas & Functions For Dummies and get a flying start on the Excel functions and formulas that power up your data superpowers. With this book, you'll: Learn to create and use hundreds of formulas and functions, correct common mistakes, and make calculationsDiscover how to analyze data and calculate statistics, and even work with dates and timesUse the ever-evolving, AI-powered Copilot to expand Excel's functionality

Models and Applications of Tourists' Travel Behavior provides an overview of all possible approaches to modeling tourists' travel behavior, helping readers decide which theoretical approach should be chosen depending on the available type of data. It focuses on the connection between traditional travel behavior theories and tourist studies and introduces specific tourist contexts in travel demand modelling. It goes beyond the theoretical background of tourist travel behavior modeling and offers a practical understanding for choosing the right model and sourcing the right data. The book begins with the role of transport in tourist' travel behavior, then employs a literature review to establish the necessary background on the topic. It then goes on to describe theoretical approaches, descriptive approaches, and statistical approaches for modelling. It discusses choice models based on both Stated Preference Data and Revealed Preference Data. It concludes with chapters on machine learning