"Essentials of Applied Econometrics gives students and professionals the tools they need to do econometric analysis in a world in which more data surround us every day and in which econometrics is put
This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It
Optical Interconnects For Data Centers explains the latest information available on current data center networks based on electronic packet switches and how they are experiencing an exponential increa
Published annually, this 25th edition brings together a unique combination of the latest data on, and detailed analysis of, a vast region. Scrupulously updated by Europa’s experienced editors, the vol
This book provides recent advances in analysis and synthesis of Large-scale network systems (LSNSs) with sampled-data communication and non-identical nodes. In its first chapter of the book presents a
Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi
Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi
The purpose of this book is to define a broad spectrum of statistical linear models that is useful in the analysis of data. Considered a "classic" for years, the material in this book is now
Each chapter in this book makes a unique contribution to the body of the literature and enhances the understanding of spatial ability and its influence on learning in the STEM disciplines. It addresse
This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what mode
This book focuses on the methodology and analysis of state and local population projections. It describes the most commonly used data sources and application techniques for four types of projection me
This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria
Gunilla Eriksson revises our perception of intelligence as carefully collected data and objective truth, arguing that there are hidden aspects to intelligence analysis that need to be uncovered and cr
This guide helps researchers publish medical papers, focusing on clinical research. It outlines 256 key principles for planning, data collection and analysis, writing, editing, and revising, based on
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform.The book
Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information syste
Isotope Geochemistry: The Origin and Formation of Manganese Rocks and Ores is an inclusive reference that features a wealth of supporting data, analysis, and interpretation on global manganese origins
Many people may be unsure of what 'structured data' means, but everyone will recognise it: data that resides within a fixed field in a record. At the same time, the web, mobile and social networks, an
This book teaches time series and forecasting methods with an emphasis on the fundamentals of data set analysis. It is designed for use in a full-year introduction to univariate and multivariate time
Data mining is an increasingly valuable tool within the institution of higher education. Educational Data Mining (EDM) has emerged as a field in its own right, focusing on data mining techniques
This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an e
Generating data is the defining aspect of empirical work. Data in this respect is understood as information-capacitated material that must be discovered, mined, unearthed - or a near limitless range o
Real-world cost-of-capital data from across industries and around the globeThe 2016 International Valuation Handbook – Industry Cost of Capital offers the same type of rigorous industry-level analysis
It’s a manager’s job to make the tough calls, but the hardest part of being a manager is resolving those ?gray areas”?situations where analysis of the numbers, facts, and data fails to provide a clear
Jews and the American Religious Landscape explores major, complementary facets of American Judaism and Jewish life through a comprehensive analysis of contemporary demographic data. Focusing on the mo
This book discusses data privacy in banking and financial services, anonymization principles and practice, test data management, and synthetic data generation. From a practice standpoint, it provides
This book offers a new framework that facilitates the development of more intelligent systems and methods for data analysis and international information sharing, such as the use of satellite imaging
The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variet
Master how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science princip
Applying a comparative analysis on law and practices, combined with extensive data, this book considers the legal consequences for public servants who make unauthorised disclosures of official informa
This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after hav
Data mining is a branch of computer science. It has a wide scope as it integrates principles from diverse fields such as artificial intelligence, statistics, etc. It uses sophisticated algorithms and
Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for stat
Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for stat
This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and pl
A good data scientist knows how to do something really well, but a great data scientist can do "something of everything." From raw data all the way to shining in front of C-level executives,
What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the ver
