Luminescence: Data Analysis and Modeling Using R (Pagonis Vasilis)(Paperback)

Luminescence: Data Analysis and Modeling Using R (Pagonis Vasilis)(Paperback)

1. Introduction.- 2. Analysis and Modeling of TL Data.- 3. Analysis of Experimental OSL Data.- 4. Dose Response of Dosimetric Materials.- 5. Monte Carlo Simulations With Fixed Time Interval.- 6. Luminescence as a Stochastic Life-and-Death Process.- 7. Delocalized Transitions: The R Package

Applied Spatial Statistics and Econometrics: Data Analysis in R (Kopczewska Katarzyna)(Paperback)

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal

Microsoft Excel 2019 Data Analysis and Business Modeling (Winston Wayne)(Paperback)

Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable

Political Analysis Using R (Monogan III James E.)(Paperback)

Obtaining R and Downloading Packages.- Loading and Manipulating Data.- Visualizing Data.- Descriptive Statistics.- Basic Inferences.- Linear Models and Regression.- Diagnostics.- Generalized Linear Models.- Using Libraries to Apply Advanced Models.- Time Series Analysis.- Linear Algebra with

Qualitative and Mixed Methods Data Analysis Using Dedoose: A Practical Approach for Research Across the Social Sciences (Salmona Michelle Suzanne)(Paperback)

Qualitative and Mixed Methods Data Analysis Using Dedoose(R) A Practical Approach for Research Across the Social Sciences by Michelle Salmona, Eli Lieber, Dan Kaczynski provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed

Excel Data Analysis: Modeling and Simulation (Guerrero Hector)(Pevná vazba)

Why does the World Need--Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a

Data Analysis Using Regression and Multilevel Hierarchical Models (Gelman Andrew)(Paperback)

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing

Data Analysis Using SQL and Excel (Linoff Gordon S.)(Paperback)

Die zweite Auflage von Data Analysis Using SQL and Excel zeigt, wie man diese beiden beliebten Werkzeuge der Datenabfrage und -analyse am besten nutzt, um anspruchsvolle Datenanalysen ohne komplexe, teuere Data-Mining-Tools einsetzen zu mussen. Sie lernen zunachst die grundlegenden statistischen

Primer to Analysis of Genomic Data Using R (Gondro Cedric)(Paperback)

Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Friendly Michael)(Pevná vazba)

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and

Excel Pivot Tables: Basic Beginners Guide to Learn Excel Pivot Tables for Data Analysis and Modeling (Martin Mg)(Paperback)

Most organizations and businesses use Excel to perform data analysis. These organizations also use it for modeling. There are numerous features and add-ins that Excel offers which make it easier to perform data analysis and modeling. A Pivot Table is one such feature provided by Excel. You can

Data Analysis Using Stata, Third Edition (Kohler Ulrich)(Paperback)

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource

Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Freeman Michael)(Paperback)

The Foundational Hands-On Skills You Need to Dive into Data Science Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills

Data Analysis with Mplus (Geiser Christian)(Paperback)

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (Long Jd)(Paperback)

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R

Tabular Modeling in Microsoft SQL Server Analysis Services (Russo Marco)(Paperback)

Build agile and responsive business intelligence solutions Create a semantic model and analyze data using the tabular model in SQL Server 2016 Analysis Services to create corporate-level business intelligence (BI) solutions. Led by two BI experts, you will learn how to build, deploy, and query a

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and Bugs: Volume 2: Dynamic and Advanced Model (Kery Marc)(Pevná vazba)

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more

Introduction to Computation and Programming Using Python, Third Edition: With Application to Computational Modeling and Understanding Data (Guttag John V.)(Paperback)

The new edition of an introduction to the art of computational problem solving using Python. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random,

Statistics 101: From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide (Borman David)(Pevná vazba)

Learning R: A Step-By-Step Function Guide to Data Analysis (Cotton Richard)(Paperback)

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming

Data Structures using Python (Vasudevan Dr Shriram K. (Assistant Professor Dept. of CSE Assistant Professor Dept. of CSE Amrita Vishwa Vidyapeetham Coimbatore))(Paperback / softback)

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first course on the subject. It is written for the undergraduate engineering students of Computer Science,

Qualitative Data Analysis with NVivo (Jackson Kristi)(Paperback)

Engaging and accessible, this book offers students a complete guide to using NVivo for qualitative data analysis. Drawing on their wealth of expertise, the authors offer detailed, practical advice that relates to students' own experience and research projects. Packed with real-world examples and

Applied Plant Science Experimental Design and Statistical Analysis Using Sas(r) Ondemand for Academics (Durner Edward F.)(Paperback)

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analyzing and interpreting research can be

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas (Alexopoulos Panos)(Paperback)

What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold-but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide,