Security-related advanced technologies in critical infrastructure protection : theoretical and practical approach / by NATO Advanced Research Workshop on Security-Related Advanced Technologies in Critical Infrastructure Protection Budapest, Hungary, SpringerLink (Online service)

Table of Contents: “…2.3 Dynamic Behavior of Energy-Absorbing Building Materials -- 2.4 Evaluation Indexes of Energy Absorption -- 2.5 Conclusion -- References -- Chapter 3: A Method for Approximating Circular Error Probable -- 3.1 Introduction -- 3.2 Methods for Deriving CEP -- 3.2.1 Stochastic Approximation -- 3.3 Approximation CEP by SA -- 3.3.1 The Ratio of Standard Deviations in CEP Estimation -- 3.4 Numerical Analysis -- 3.5 Summary -- References -- Chapter 4: Machine Learning Aspects of Internet Firewall Data -- 4.1 Introduction -- 4.2 Modeling Network Firewall Rules by Neural Network…”
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Robust statistics : theory and methods (with R) / by Maronna, Ricardo A., ProQuest Ebook Subscriptions

Table of Contents: “…Cover; Title Page; Copyright; Contents; Preface; Preface to the First Edition; About the Companion Website; Chapter 1 Introduction; 1.1 Classical and robust approaches to statistics; 1.2 Mean and standard deviation; 1.3 The "three sigma edit" rule; 1.4 Linear regression; 1.4.1 Straight-line regression; 1.4.2 Multiple linear regression; 1.5 Correlation coefficients; 1.6 Other parametric models; 1.7 Problems; Chapter 2 Location and Scale; 2.1 The location model; 2.2 Formalizing departures from normality; 2.3 M-estimators of location; 2.3.1 Generalizing maximum likelihood…”
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Handbook of research on artificial intelligence : techniques and algorithms / by IGI InfoSci

Table of Contents: “…Behnamian -- Cancer biomarker assessment using evolutionary rough multi-objective optimization algorithm / Anasua Sarkar, Ujjwal Maulik -- Application of standard deviation method integrated PSO approach in optimization of manufacturing process parameters / Arindam Majumder, Abhishek Majumder -- A comparison for optimal allocation of a reliability algorithms production system / Abdelkader Zeblah, Abdelkader Rami, Eric Châtelet -- From optimization to clustering: a swarm intelligence approach / Megha Vora, T. …”
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Principles of big data : preparing, sharing, and analyzing complex information. by Berman, Jules J., Safari Books Online

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QlikView for developers cookbook : discover the strategies needed to tackle the most challenging tasks facing the QlikView developer / by Redmond, Stephen, Safari Books Online

Table of Contents: “…Creating a dynamic AGGR expression for a Group dimension using Dollar ExpansionUsing RangeMax to return only positive numbers; Creating a dynamic Part-to-Whole pie chart; Creating a colored treemap using colormix; Using RangeSum to calculate a rolling total in a multi-dimension table; Showing only the top 3 values in a pivot table; Creating a Statistical Control Chart using Standard Deviation; Creating a Moving Range chart; Creating a control chart using Moving Range; Chapter 5: Advanced Coding; Introduction; Extracting QlikView data to a Word report; Printing reports to PDF using PDFCreator.…”
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CAIA level I : an introduction to core topics in alternative investments / by Anson, Mark Jonathan Paul, Chambers, Donald R., Black, Keith H., Kazemi, Hossein, 1954-, Safari Books Online, CAIA Association

Table of Contents: “…""1.6 GOALS OF ALTERNATIVE INVESTING""""1.7 OVERVIEW OF THIS BOOK""; ""Chapter 2: The Environment of Alternative Investments""; ""2.1 THE PARTICIPANTS""; ""2.2 FINANCIAL MARKETS""; ""2.3 REGULATIONS""; ""2.4 TAXATION""; ""Chapter 3: Statistical Foundations""; ""3.1 FREQUENCY AND PROBABILITY DISTRIBUTIONS""; ""3.2 COMPOUNDING MULTIPLE TIME PERIOD RETURNS""; ""3.3 RETURN DISTRIBUTIONS AND AUTOCORRELATION""; ""3.4 MOMENTS OF THE DISTRIBUTION: MEAN, VARIANCE, SKEWNESS, AND KURTOSIS""; ""3.5 COMPUTING SAMPLE STATISTICS""; ""3.6 MORE ON STANDARD DEVIATION AND VARIANCE""…”
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Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications / by Dixon, Jamie, Safari Books Online

Table of Contents: “…; Getting ready for machine learning; Setting up Visual Studio; Learning F#; Third-party libraries; Math.NET; Accord.NET; Numl; Summary; Chapter 2: AdventureWorks Regression; Simple linear regression; Setting up the environment; Preparing the test data; Standard deviation…”
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Trends of data science and applications : theory and practices / by SpringerLink (Online service)

Table of Contents: “…5 Measures of Central Tendency -- 5.1 Mean -- 5.2 Median -- 5.3 Mode -- 5.4 Variance -- 5.5 Standard Deviation -- 6 Distributions in Statistics -- 6.1 Probability Distributions -- 6.2 PMF Versus PDF -- 6.3 Common Probability Distributions -- 6.4 Kurtosis -- 6.5 Skewness in Distributions -- 6.6 Scaling and Transformations -- 7 Outlier Treatment -- 7.1 Understanding Outliers -- 7.2 Detecting Outliers -- 8 Correlation Analysis -- 8.1 Steps for Correlation Analysis -- 8.2 Autocorrelation Versus Partial Correlation -- 9 Variance and Covariance Analysis -- 9.1 Analysis of Variance (ANOVA)…”
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Landscape, Land-Change & Well-Being in the Lesser Antilles : Case Studies from the coastal villages of St. Kitts and the Kalinago Territory, Dominica / by Stancioff, Charlotte Eloise, PALCI EBSCO books

Table of Contents: “….; Fig. 27. Mean and standard deviations of the variables of coastal changes whereby 1 represents the negative and 4 the positive changes.…”
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Normalization of multidimensional data for multi-criteria decision making problems : inversion, displacement, asymmetry / by Mukhametzyanov, Irik Z., SpringerLink (Online service)

Table of Contents: “…2.3.3 Objective Weighting Methods: Entropy, CRITIC, SD -- Entropy Weighting Method (EWM) [26, 27, 37] -- CRiteria Importance Through Inter-criteria Correlation (CRITIC) [28] -- Standard Deviation (SD) -- 2.4 Aggregation of the Attributes: An Overview of Some Methods -- 2.4.1 Value Measurement Methods -- Simple Additive Weighting (SAW) or Weighted Sum Method (WSM) [1] -- Weighted Product Method (WPM) [39] -- Weighted Aggregated Sum Product Assessment (WASPAS) [39] -- Multi-Attributive Border Approximation Area Comparison (MABAC) [45] -- Complex Proportional Assessment (COPRAS) Method [46]…”
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Analysis of neural data / by Kass, Robert E., Eden, Uri T., Brown, E. N. (Emery N.), SpringerLink (Online service)

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Intelligent and interactive computing : proceedings of IIC 2018 / by International Conference on Intelligent and Interactive Computing Malacca, Malaysia, SpringerLink (Online service)

Table of Contents: “…2.1 Volunteer Criteria and Task Criteria2.2 Volunteer Selection Methods; 3 Methodology; 4 Results; 5 Conclusion; References; The Effect of Two-Term Parameters on the Performance of Third-Order Neural Network on Medical Classification Problems; 1 Introduction; 2 Third-Order Implementation on BP Algorithm; 3 Experiments and Simulation Results; 3.1 Breast Cancer Classification Problems; 3.2 Heart Classification Problem; 4 Conclusions; References; Stock Market Forecasting Model Based on AR(1) with Adjusted Triangular Fuzzy Number Using Standard Deviation Approach for ASEAN Countries…”
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Introduction to probability and statistics for engineers and scientists / by Ross, Sheldon M., PALCI EBSCO books

Table of Contents: “…Cover -- Contents -- Preface -- CHAPTER 1 INTRODUCTION TO STATISTICS -- 1.1 INTRODUCTION -- 1.2 DATA COLLECTION AND DESCRIPTIVE STATISTICS -- 1.3 INFERENTIAL STATISTICS AND PROBABILITY MODELS -- 1.4 POPULATIONS AND SAMPLES -- 1.5 A BRIEF HISTORY OF STATISTICS -- CHAPTER 2 DESCRIPTIVE STATISTICS -- 2.1 INTRODUCTION -- 2.2 DESCRIBING DATA SETS -- 2.2.1 Frequency Tables and Graphs -- 2.2.2 Relative Frequency Tables and Graphs -- 2.2.3 Grouped Data, Histograms, Ogives, and Stem and Leaf Plots -- 2.3 SUMMARIZING DATA SETS -- 2.3.1 Sample Mean, Sample Median, and Sample Mode -- 2.3.2 Sample Variance and Sample Standard Deviation -- 2.3.3 Sample Percentiles and Box Plots -- 2.4 CHEBYSHEV'S INEQUALITY -- 2.5 NORMAL DATA SETS -- 2.6 PAIRED DATA SETS AND THE SAMPLE CORRELATION COEFFICIENT -- CHAPTER 3 ELEMENTS OF PROBABILITY -- 3.1 INTRODUCTION -- 3.2 SAMPLE SPACE AND EVENTS -- 3.3 VENN DIAGRAMS AND THE ALGEBRA OF EVENTS -- 3.4 AXIOMS OF PROBABILITY -- 3.5 SAMPLE SPACES HAVING EQUALLY LIKELY OUTCOMES -- 3.6 CONDITIONAL PROBABILITY -- 3.7 BAYES' FORMULA -- 3.8 INDEPENDENT EVENTS -- CHAPTER 4 RANDOM VARIABLES AND EXPECTATION -- 4.1 RANDOM VARIABLES -- 4.2 TYPES OF RANDOM VARIABLES -- 4.3 JOINTLY DISTRIBUTED RANDOM VARIABLES -- 4.3.1 Independent Random Variables -- *4.3.2 Conditional Distributions -- 4.4 EXPECTATION -- 4.5 PROPERTIES OF THE EXPECTED VALUE -- 4.5.1 Expected Value of Sums of Random Variables -- 4.6 VARIANCE -- 4.7 COVARIANCE AND VARIANCE OF SUMS OF RANDOM VARIABLES -- 4.8 MOMENT GENERATING FUNCTIONS -- 4.9 CHEBYSHEV'S INEQUALITY AND THE WEAK LAW OF LARGE NUMBERS -- CHAPTER 5 SPECIAL RANDOM VARIABLES -- 5.1 THE BERNOULLI AND BINOMIAL RANDOM VARIABLES -- 5.1.1 Computing the Binomial Distribution Function -- 5.2 THE POISSON RANDOM VARIABLE -- 5.2.1 Computing the Poisson Distribution Function -- 5.3 THE HYPERGEOMETRIC RANDOM VARIABLE -- 5.4 THE UNIFORM RANDOM VARIABLE -- 5.5 NORMAL RANDOM VARIABLES -- 5.6 EXPONENTIAL RANDOM VARIABLES -- *5.6.1 The Poisson Process -- *5.7 THE GAMMA DISTRIBUTION -- 5.8 DISTRIBUTIONS ARISING FROM THE NORMAL -- 5.8.1 The Chi-Square Distribution -- 5.8.2 The t-Distribution -- 5.8.3 The F-Distribution -- *5.9 THE LOGISTICS DISTRIBUTION -- CHAPTER 6 DISTRIBUTIONS OF SAMPLING STATISTICS -- 6.1 INTRODUCTION -- 6.2 THE SAMPLE MEAN -- 6.3 THE CENTRAL LIMIT THEOREM -- 6.3.1 Approximate Distribution of the Sample Mean -- 6.3.2 How Large a Sample Is Needed? …”
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Pollution status, environmental protection, and renewable energy production in marine systems / by PALCI EBSCO books

Table of Contents: “…Marquardt's Percent Standard Deviation (MPSD) ; 3.5.6. The Sum of the Absolute Errors (EABS) ; 3.5.7. …”
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Defined benefit pension schemes in the United Kingdom : asset and liability management / by Marcaillou, Philippe-N, Oxford Scholarship Online

Table of Contents: “…; Asset Allocation: Current Portfolio and Comparison to Three Alternatives (see Table 2.5); 2.2.3.3 Historical Data Analysis: Comparison of the Performance of Portfolios; Introduction to Some Performance and Risk Metrics; ANNUALIZED RETURN; STANDARD DEVIATION; MAXIMUM DRAWDOWN; INTRODUCTION TO VALUE-AT-RISK (VaR); VaR: How does it work?…”
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Head first statistics / by Griffiths, Dawn, Safari Books Online

Table of Contents: “…; Box and whisker plots let you visualize ranges; Variability is more than just spread; Calculating average distances; We can calculate variation with the variance ... ; ... but standard deviation is a more intuitive measure; A quicker calculation for variance; What if we need a baseline for comparison?…”
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Advances in environmental research. by PALCI EBSCO books

Table of Contents: “…Statistical Analysis; 2.7.1. Mean; 2.7.2. Standard Deviation…”
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Corporate governance and diversity in boardrooms : empirical insights into the impact on firm performance / by Magnanelli, Barbara Sveva, Pirolo, Luca, SpringerLink (Online service)

Table of Contents: “…Precisely, for categorical variables we use the (relative) entropy; while for quantitative variables, we use the standard deviation. The impact of these variables on the firm performance is tested through both market-based and accounting-based measures. …”
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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

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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General theory of light propagation and imaging through the atmosphere / by McKechnie, T. Stewart, SpringerLink (Online service)

Table of Contents: “…3.1.4 Effect of Humidity3.1.5 Effect of Dispersion; 3.1.6 Random Variables Associated with Atmospheric Turbulence; 3.1.7 Astronomical Refraction; 3.1.7.1 Typical Angles of Refraction; 3.1.8 Atmospheric Extinction; 3.2 Point-Objects; 3.3 The Electromagnetic Spectrum; 3.4 Quasi-monochromatic Light; 3.5 Amplitude and Phase of Light Waves Disrupted by Turbulence; 3.6 The Atmosphere Considered as a Stochastic Process; 3.6.1 Spatial and Temporal Stationarity and the Ensemble AverageRandom Stochastic Processes; 3.6.2 Standard Error and Standard Deviation…”
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