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Applied Econometrics Using the SAS® System
Author Vivek B. Ajmani
The first cutting-edge guide to using the SAS® system for the analysis of econometric dataApplied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tool....
Release Date 2009/06 -
Applied Health Analytics and Informatics Using SAS
Author Joseph M. Woodside
Leverage health data into insight!Applied Health Analytics and Informatics Using SAS describes health anamatics, a result of the intersection of data analytics and health informatics. Healthcare systems generate nearly a third of the world’s data, and analytics ca....
Release Date 2018/11 -
Applied Modeling Techniques and Data Analysis 1
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
Applied Modeling Techniques and Data Analysis 2
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
APPLIED MULTIVARIATE STATISTICS: WITH SAS® SOFTWARE
Author Dayanand N. Naik , Ravindra Khattree
Real-world problems and data sets are the backbone of Ravindra Khattree and Dayanand Naik's Applied Multivariate Statistics with SAS Software, Second Edition, which provides a unique approach to the topic, integrating statistical methods, data analysis, and applica....
Release Date 1999/02 -
Author Jürgen Pilz , Rob Verdooren , Dieter Rasch
Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services,....
Release Date 2019/10 -
Applied Statistics and Probability for Engineers, 6th Edition
Author George C. Runger , Douglas C. Montgomery
This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will en....
Release Date 2013/11 -
Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition
Author Stanley Lemeshow , Susanne May , David W. Hosmer
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITIONSince publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inq....
Release Date 2008/03 -
Author Sam Morley
Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific librariesKey FeaturesCompute complex mathematical problems using programming logic w....
Release Date 2020/07 -
Architecting Data Lakes, 2nd Edition
Author Ben Sharma
Many organizations today are succeeding with data lakes, not just as storage repositories but as places to organize, prepare, analyze, and secure a wide variety of data. Management and governance is critical for making your data lake work, yet hard to do without a ....
Release Date 2018/04 -
Artificial Intelligence with Power BI
Author Mary-Jo Diepeveen
Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your dataKey FeaturesLearn how to gain better insights from your data by applying different AI techniques within Power BISave time by creating machine learning models independently and integrat....
Release Date 2022/04 -
Audio Power Amplifier Design Handbook, 4th Edition
Author Douglas Self
Douglas Self offers a tried and tested method for designing audio amplifiers in a way that improves performance at every point in the circuit where distortion can creep in - without significantly increasing cost. His quest for the Blameless Amplifier takes readers t....
Release Date 2006/07 -
Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining
Author Dominic Nyhuis , Peter Meissner , Christian Rubba , Simon Munzert
A hands on guide to web scraping and text mining for both beginners and experienced users of RIntroduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL.Provides basic techniques to query web documents and....
Release Date 2015/01 -
Author Ben Jones
Avoid data blunders and create truly useful visualizationsAvoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plent....
Release Date 2019/11 -
Author Mir Asif Iquebal , Ratan Kumar Choudhary , Chandra Sekhar Mukhopadhyay
An accessible guide that introduces students in all areas of life sciences to bioinformaticsBasic Applied Bioinformatics provides a practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusion....
Release Date 2017/11 -
Basic Data Analysis for Time Series with R
Author DeWayne Derryberry
Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data w....
Release Date 2014/07 -
Author Jean Houston Shore
The field of statistics is broad and complex, but this Infoline will help training professionals use statistics to execute their jobs even better. Why statistics? First, they allow you to make better decisions because data can be analyzed using proven mathematical p....
Release Date 2006/09 -
Bayesian Analysis with Python - Second Edition
Author Osvaldo Martin
Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ A modern, practical and computational approach to Bayesian statistical modeling A tutorial....
Release Date 2018/12 -
Bayesian Statistics the Fun Way
Author Will Kurt
Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don’t even understand, meaning they aren’t getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you....
Release Date 2019/07 -
Bayesian Statistics: An Introduction, 4th Edition
Author Peter M. Lee
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on ....
Release Date 2012/09 -
Author Richard Anthony D'Aveni
Commoditization-a virulent form of hypercompetition-is destroying markets, disrupting industries, and shuttering long-successful firms. Conventional wisdom says the best way to combat commoditization is differentiation. But differentiation is difficult and expensive....
Release Date 2010/01 -
Author Julie Steele , Noah Iliinsky
With contributions from more than two dozen experts, this book demonstrates why visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding. Think of the familiar map....
Release Date 2010/06 -
Author Alvaro Fuentes
Enhance your data analysis and predictive modeling skills using popular Python toolsKey FeaturesCover all fundamental libraries for operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Acce....
Release Date 2018/08 -
Beginning Big Data with Power BI and Excel 2013
Author Neil Dunlop
In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze busin....
Release Date 2015/09 -
Beginning Data Analysis with Python And Jupyter
Author Alex Galea
Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.About This BookGet up and running with the Jupyter ecosystem and som....
Release Date 2018/06 -
Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist
Author Thomas Mailund
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new softwar....
Release Date 2022/06 -
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
Author Thomas Mailund
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new sof....
Release Date 2017/03 -
Author Philip Meitiner , Pradeeka Seneviratne
Learn to use technology to undertake data science and to leverage the Internet of Things (IoT) in your experimentation. Designed to take you on a fascinating journey, this book introduces the core concepts of modern data science. You'll start with simple applications tha....
Release Date 2020/07 -
Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
Author Philip Seamark
Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts....
Release Date 2018/03 -
Beginning Julia Programming: For Engineers and Scientists
Author Sandeep Nagar
Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS, or....
Release Date 2017/11