Search Results - "computational statistics"

Think like a programmer : an introduction to creative problem solving by Spraul, V. Anton

Table of Contents: “…Problem: Decode a MessageProblem: Reading a Number with Three or Four Digits; Problem: Reading a Number with Three or Four Digits, Further Simplified; Conclusion; Exercises; 3: Solving Problems with Arrays; Review of Array Fundamentals; Store; Copy; Retrieval and Search; Sort; Compute Statistics; Solving Problems with Arrays; Problem: Finding the Mode; Refactoring; Arrays of Fixed Data; Non-scalar Arrays; Multidimensional Arrays; Deciding When to Use Arrays; Exercises; 4: Solving Problems with Pointers and Dynamic Memory; Review of Pointer Fundamentals; Benefits of Pointers.…”
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KNIME Essentials. by Bakos, Gábor

Table of Contents: “…Computing statisticsOverview of visualizations; Visual guide for the views; Distance matrix; Using visual properties; Color; Size; Shape; KNIME views; HiLite; Use cases for HiLite; Row IDs; Extreme values; Basic KNIME views; The Box plots; Hierarchical clustering; Histograms; Interactive Table; The Lift chart; Lines; Pie charts; The Scatter plots; Spark Line Appender; Radar Plot Appender; The Scorer views; JFreeChart; The Bar charts; The Bubble chart; Heatmap; The Histogram chart; The Interval chart; The Line chart; The Pie chart; The Scatter plot; Open Street Map; 3D Scatterplot.…”
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Analyzing data from a national assessment of educational achievement by Shiel, Gerry

Table of Contents: “…Calculating a Mean Score and Its Standard Error3.2 Computing a Mean Score and Its Standard Error in WesVar; 3.2.A: Specifying a Computed Statistic in a WesVar Table; 3.2.B: Output for WesVar Tables: Computing Mean Score; Computing Mean Scores and Standard Errors for Subgroups in the Population; 3.3 Computing Mean Scores and Standard Errors in WesVar, Four Regions; 3.3.A: WesVar Workbook before Computing Mean Scores by Region; Notes; 3.3.B: WesVar Output for Computing Mean Scores by Region; 4. …”
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Applied Univariate, Bivariate, and Multivariate Statistics Using Python : A Beginner's Guide to Advanced Data Analysis. by Denis, Daniel J.

Table of Contents: “…Introduction to Python and the Field of Computational Statistics -- 2.1 The Importance of Specializing in Statistics and Research, Not Python: Advice for Prioritizing Your Hierarchy -- 2.2 How to Obtain Python -- 2.3 Python Packages -- 2.4 Installing a New Package in Python -- 2.5 Computing z-Scores in Python -- 2.6 Building a Dataframe in Python: And Computing Some Statistical Functions -- 2.7 Importing a .txt or .csv File -- 2.8 Loading Data into Python -- 2.9 Creating Random Data in Python -- 2.10 Exploring Mathematics in Python -- 2.11 Linear and Matrix Algebra in Python: Mechanics of Statistical Analyses -- 2.11.1 Operations on Matrices -- 2.11.2 Eigenvalues and Eigenvectors -- Review Exercises -- 3. …”
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Computers in geology : 25 years of progress

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L1-norm and L[infinity symbol]-norm estimation : an introduction to the least absolute residuals, the minimax absolute residual and related fitting procedures by Farebrother, R. W., 1946-

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Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming by Tigeraniya, Arun

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Strategies for reducing drug and chemical residues in food animals : international approaches to residue avoidance, management, and testing

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