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An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and;
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Digital Control Applications Illustrated with MATLAB (R) covers the modeling, analysis, and design of linear discrete control systems;
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Digital Control Applications Illustrated with MATLAB (R) covers the modeling, analysis, and design of linear discrete control systems;
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Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the;
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The first cutting-edge guide to using the SAS(R) system for the analysis of econometric data Applied Econometrics Using the SAS(R) System;
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A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an;
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discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on;
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for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book;
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while appealing to experienced users as well.Each article begins with a data example that can be downloaded directly from the R website. Data;
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preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;
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Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;
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reporting with Shiny * Get started with geospatial analysis * Handling large data with R using Spark and MongoDB * Build Recommendation system;
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The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;
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CD-ROM includes Mathcad(r) v.1 4 Academic Edition, which is reproduced with permission and has no time limitation for use, providing users;
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. Features two new chapters-one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some;
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The temporal resolution of today's simulated scientific data sets is constantly growing. Simulations spanning thousands of discrete time;
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series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets;
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biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and;
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invited talk presented at the conference. The conference focuses on topics related to efficient algorithms and data structures, their analysis;
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The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive;
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The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive;
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The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;
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See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;
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See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;
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as a tool for calculation and data analysis, but also to illustrate concepts of probability and to simulate distributions. The examples;
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does a data analysis project in education look like? If you're just getting started with R in an education job, this is the book you'll;
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