Showing 1 - 19 results of 19 for search '"Standard deviations"', query time: 0.08s Refine Results
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    Excel 2010 for biological and life sciences statistics a guide to solving practical problems / by Quirk, Thomas Joseph, SpringerLink (Online service)

    Published: Springer, 2013
    Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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    Excel 2013 for biological and life sciences statistics : a guide to solving practical problems / by Quirk, Thomas J., Quirk, Meghan, Horton, Howard F., SpringerLink (Online service)

    Published: Springer, 2015
    Table of Contents: “…Introduction -- Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index.…”
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    Excel 2007 for educational and psychological statistics a guide to solving practical problems / by Quirk, Thomas Joseph, SpringerLink (Online service)

    Published: Springer, 2012
    Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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    Automating vibrational spectroscopy data preprocessing and multivariate analysis with MATLAB® / by Bhattacharjee, Tanmoy, SPIE Digital Library

    Published: SPIE, 2019
    Table of Contents: “…Automating mean and standard deviations calculations: an example -- References.…”
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    Online Book
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    Oracle ADF enterprise application development-made simple : successfully plan, develop, test, and deploy enterpise applications with Oracle ADF / by Vesterli, Sten E., Safari Books Online

    Published: Packt Publishing, 2014
    Table of Contents: “…Deciding how to build itDeciding how much to build at a time; Deciding how much to build yourself; Deciding how to integrate; Application architecture; Example Work Breakdown Structure; Estimating the solution; Top-down estimate; Bottom-up estimate; Three-point estimates; Grouping -- simple, normal, and hard; More input, better estimates; Adding it all up -- the final estimate; Swings and roundabouts; Calculating the standard deviation for a task; Calculating the standard deviation for a project; Sanity check; From effort to calendar time; Summary; Chapter 3:Getting Organized.…”
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    Biostatistics with 'R' : a guide for medical doctors / by Moscarelli, Marco, SpringerLink (Online service)

    Published: Springer, 2023
    Table of Contents: “…5.13 How to Treat Non-numeric Variables -- 5.14 Plotting Categorical Variables -- 5.15 Conclusion -- Further Readings -- Chapter 6: Precision, Accuracy and Indices of Central Tendency -- 6.1 Software and R-Packages Required for This Chapter -- 6.2 Where to Download the Example Dataset and the Script for This Chapter -- 6.3 Precision -- 6.4 The Relation Between Sample Size and Precision -- 6.5 Variance and Standard Deviation -- 6.6 Population and Sample Variance -- 6.7 Standard Error of the Mean vs Standard Deviation -- 6.8 Accuracy and Confidence Intervals -- 6.9 Mean, Median, Mode…”
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    Unlocking financial data : a practical guide to technology for equity and fixed income analysts / by Pauley, Justin, Safari Books Online

    Published: O'Reilly, 2017
    Table of Contents: “…Portfolio Risk Analysis""; ""Path 1: Excel""; ""Variance, Volatility, and Standard Deviation""; ""Sharpe Ratio with Historical or Forecasted Returns""; ""Portfolio Breakdown""; ""Warning Signs""; ""Path 2: Access""; ""Portfolio Breakdown""; ""Warning Signs""; ""Path 3: C#""…”
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    Unlocking financial data : a practical guide to technology for equity and fixed income analysts / by Pauley, Justin, Safari Books Online

    Published: O'Reilly, 2017
    Table of Contents: “…Portfolio Risk Analysis""; ""Path 1: Excel""; ""Variance, Volatility, and Standard Deviation""; ""Sharpe Ratio with Historical or Forecasted Returns""; ""Portfolio Breakdown""; ""Warning Signs""; ""Path 2: Access""; ""Portfolio Breakdown""; ""Warning Signs""; ""Path 3: C#""…”
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    F♯ for quantitative finance : an introductory guide to utilizing F♯ for quantitative finance leveraging the .NET platform / by Astborg, Johan, Safari Books Online

    Published: Packt Pub., 2013
    Table of Contents: “…Floating-point numbersThe IEEE 754 floating-point standard; Learning about numerical types in F♯; Arithmetic operators; Learning about arithmetic comparisons; Math operators; Conversion functions; Introducing statistics; Aggregate statistics; Calculating the sum of a sequence; Calculating the average of a sequence; Calculating the minimum of a sequence; Calculating the maximum of a sequence; Calculating the variance and standard deviation of a sequence; Looking at an example application; Using the Math.NET library; Installing the Math.NET library; Introduction to random number generation.…”
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    Big Data Analytics with Hadoop 3 : Build highly effective analytics solutions to gain valuable insight into your big data. by Alla, Sridhar, ProQuest Ebook Subscriptions

    Published: Packt Publishing, 2018
    Table of Contents: “…Record readerMap; Combiner; Partitioner; Shuffle and sort; Reduce; Output format; MapReduce job types; Single mapper job; Single mapper reducer job; Multiple mappers reducer job; SingleMapperCombinerReducer job; Scenario; MapReduce patterns; Aggregation patterns; Average temperature by city; Record count; Min/max/count; Average/median/standard deviation; Filtering patterns; Join patterns; Inner join; Left anti join; Left outer join; Right outer join; Full outer join; Left semi join; Cross join; Summary; Chapter 4: Scientific Computing and Big Data Analysis with Python and Hadoop; Installation.…”
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    Large-scale scientific computing : 13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7-11, 2021, Revised selected papers / by LSSC (Conference) Sozopol, Bulgaria), SpringerLink (Online service)

    Published: Springer, 2022
    Table of Contents: “…Invited Papers -- Random-walk Based Approximate k-Nearest Neighbors Algorithm for Diffusion State Distance -- Model Reduction for Large Scale Systems -- II Fractional Di_usion Problems: Numerical Methods, Algorithms and Applications -- Constructions of Second Order Approximations of the Caputo Fractional Derivative -- Parameter Identification Approach for a Fractional Dynamics Model of Honeybee Population -- A Newton's Method for Best Uniform Polynomial Approximation -- Reduced Sum Implementation of the BURA Method for Spectral Fractional Diffusion Problems -- First-order Reaction-diffusion System with Space-fractional Diffusion in an Unbounded medium -- Performance Study of Hierarchical Semi-Separable Compression Solver for Parabolic Problems with Space-fractional Diffusion -- Numerical Solution of Non-Stationary Problems with a Rational Approximation for Fractional Powers of the Operator -- Large-Scale Models: Numerical Methods, Parallel Computations and Applications -- An Exact Schur Complement Method for Time-harmonic Optimal Control Problems -- On the Consistency Order of Runge-Kutta Methods Combined with Active Richardson Extrapolation -- Study the Recurrence of the Dominant Pollutants in the Formation of AQI Status Over the City of Sofia for the Period 2013-2020 -- One Solution of Task with Internal Flow in Non-uniform Fluid Using CABARET Method -- Behavior and Scalability of the Regional Climate Model RegCM4 on High Performance Computing Platforms -- Quantum Effects on 1/2[111] Edge Dislocation Motion in Hydrogen-Charged Fe from Ring-Polymer Molecular Dynamics -- Degeneracy of Tetrahedral Partitions Produced by Randomly Generated Red Refinements -- Effluent Recirculation for Contaminant Removal in Constructed Wetlands under Uncertainty: A Stochastic Numerical Approach Based on Monte Carlo Methodology -- Sensitivity Study of Large-Scale Air Pollution Model Based on Modifications of the Latin Hypercube Sampling Method -- Sensitivity Operator-Based Approach to the Interpretation of Heterogeneous Air Quality Monitoring Data -- Using the Cauchy Criterion and the Standard Deviation to Evaluate the Sustainability of Climate Simulations -- Multidimensional Sensitivity Analysis of an Air Pollution Model Based on Modifications of the van der Corput Sequence -- Running an Atmospheric Chemistry Scheme from a Large Air Pollution Model by Using Advanced Versions of the Richardson Extrapolation -- Application of Metaheuristics to Large-Scale Problems -- New Clustering Techniques of Node Embeddings Based on Metaheuristic Optimization Algorithms -- A Comparison of Machine Learning Methods for Forecasting Dow Jones Stock Index -- Optimal Knockout Tournaments: Definition and Computation -- Risk Registry Platform for Optimizations in Cases of CBRN and Critical Infrastructure Attacks -- Influence of the ACO Evaporation Parameter for Unstructured Workforce Planning Problem -- binMeta: a New Java Package for Meta-heuristic Searches -- Synergy between Convergence and Divergence - Review of Concepts and Methods -- Advanced Stochastic Approaches Based on Optimization of Lattice Sequences for Large-Scale Finance Problems -- Intuitionistic Fuzzy Approach for Outsourcing Provider Selection in a Refinery -- Quantitative Relationship Between Particulate Matter and Morbidity -- Advanced Discretizations and Solvers for Coupled Systems of Partial Differential Equations -- Decoupling Methods for Systems of Parabolic Equations -- Optimal Control of ODEs, PDEs and Applications -- Random Lifting of Set-valued Maps -- Höolder Regularity in Bang-Bang Type Affine Optimal Control Problems -- Simultaneous Space-time Finite Element Methods for Parabolic Optimal Control Problems -- A New Algorithm for the LQR Problem with Partially Unknown Dynamics -- Tensor and Matrix Factorization for Big-Data Analysis -- Solving Systems of Polynomial Equations - a Tensor Approach -- Nonnegative Tensor-train Low-rank Approximations of the Smoluchowski Coagulation Equation -- Boolean Hierarchical Tucker Networks on Quantum Annealers -- Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization -- Machine Learning and Model Order Reduction for Large Scale Predictive Simulations -- Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems -- A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows -- A Multiscale Fatigue Model for the Degradation of Fiber-reinforced Materials -- A Classification Algorithm for Anomaly Detection in Terahertz Tomography -- Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue -- Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows -- HPC and Big Data: Algorithms and Applications -- On the Use of Low-discrepancy Sequences in the Training of Neural Networks -- A PGAS-based Implementation for the Parallel Minimum Spanning Tree Algorithm -- Comparison of Di_erent Methods for Multiple Imputation by Chain Equation -- Monte Carlo Method for Estimating Eigenvalues Using Error Balancing -- Multi-Lingual Emotion Classification Using Convolutional Neural Networks -- On Parallel MLMC for Stationary Single Phase Flow Problem -- Numerical Parameter Estimates of Beta-uniform Mixture Models -- Large-Scale Computer Simulation of the Performance of the Generalized Nets Model of the LPF-algorithm -- Contributed Papers -- A New Error Estimate for a Primal-Dual Crank-Nicolson Mixed Finite Element Using Lowest Degree Raviart-Thomas Spaces for Parabolic Equations -- A Finite Volume Scheme for a Wave Equation with Several Time Independent Delays -- Recovering the Time-Dependent Volatility in Jump-Diffusion Models from Nonlocal Price Observations -- On the Solution of Contact Problems with Tresca Friction by the Semismooth* Newton Method -- Fitted Finite Volume Method for Unsaturated Flow Parabolic Problems with Space Degeneration -- Minimization of p-Laplacian via the Finite Element Method in MATLAB -- Quality Optimization of Seismic-derived Surface Meshes of Geological Bodies.…”
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    Statistics fundamentals / by Safari Books Online

    Published: Technics Publications, 2017
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    Statistics fundamentals / by Safari Books Online

    Published: Technics Publications, 2017
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