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Quantitative Financial Risk Management.
Table of Contents: “…; A Very Brief History of Risk Management; The Future of Risk Management; 2 Market Risk: Standard Deviation; Risk and Standard Deviation; Averages; Population and Sample Data; Discrete Random Variables.…”
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3
Policy uncertainty in Japan /
Table of Contents: “…Impulse Responses to Unit Standard Deviation EPU Innovation, Monthly Data; 12. Impulse Responses to Unit Standard Deviation EPU Innovation, Quarterly Data; 13. …”
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4
Excel 2013 for biological and life sciences statistics : a guide to solving practical problems /
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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5
A student's guide to data and error analysis /
Table of Contents: “…Combining uncertainties -- Systematic deviations due to random errors -- Characteristic function -- From binomial to normal distributions -- Central limit theorem -- Estimation of th varience -- Standard deviation of the mean -- Weight factors when variances are not equal -- Least squares fitting -- Python codes -- Scientific data.…”
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6
Options math for traders : how to pick the best option strategies for your market outlook /
Table of Contents: “…INVESTORS DEMAND A RISK PREMIUM, REDUCING THE PRICE OF RISKY ASSETSVOLATILITY IS THE STANDARD DEVIATION OF RETURNS; STANDARD DEVIATION TELLS US WHAT RANGE OF OUTCOMES TO EXPECT; STANDARD DEVIATION OF RETURNS IS VOLATILITY; TYPES OF VOLATILITY; Forecast Volatility; Future Volatility; CHAPTER 4 Option Pricing Models and Implied Volatility; IT'S AN OPTION PRICING MODEL, NOT AN EQUATION FOR OPTION VALUES; A BLACK-SCHOLES EXAMPLE; THE ASSUMPTIONS; INPUTS TO THE BLACK-SCHOLES OPTION PRICING MODEL; IMPLIED VOLATILITY; THE SENSITIVITY OF OPTION PRICES TO CHANGES IN THE INPUTS; Delta; Theta; Gamma.…”
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7
A panorama of statistics : perspectives, puzzles and paradoxes in statistics /
Table of Contents: “…-- How statistics differs from mathematics -- Statistical literacy- essential in the 21st century -- Statistical inquiry on the web -- Part II Statistical description -- Trustworthy statistics are accurate, meaningful and relevant -- Let's hear it for the standard deviation! -- Index numbers- time travel for averages -- The beguiling ways of bad statistics I -- The beguiling ways of bad statistics II -- Part III Preliminaries to inference -- Puzzles and paradoxes in probability -- Some paradoxes of randomness -- Hidden risks for gamblers -- Models in statistics -- The normal distribution: history, computation and curiosities -- Part IV Statistical inference -- The pillars of applied statistics- estimation -- The pillars of applied statistics- hypothesis testing -- 'Data snooping' and the significance level in multiple testing -- Francis Galton and the birth of regression -- Experimental design- piercing the veil of random variation -- In praise of Bayes -- Part V Some statistical byways -- Quality in statistics -- History of ideas: statistical personalities and the personalities of statisticians -- Statistical eponymy -- Statistical 'laws' -- Statistical artefacts -- Part VI Answers -- Answers to the chapter questions.…”
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8
A financial conditions index for South Africa /
Table of Contents: “…The Estimated Financial Conditions Indices (FCIs) Scaled by the Sample's Standard Deviations; 4. Demeaned GDP Growth and the Alternative FCIs; 5. …”
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9
Oracle ADF enterprise application development-made simple : successfully plan, develop, test, and deploy enterpise applications with Oracle ADF /
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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10
U Can : statistics for dummies /
Table of Contents: “…Grabbing Some Basic Statistical JargonData; Data set; Variable; Population; Statistic; Parameter; Mean (Average); Median; Standard deviation; Percentile; Standard score; Distribution and normal distribution; Central Limit Theorem; z-values; Margin of error; Confidence interval; Hypothesis testing; p-values; Statistical significance; Correlation, regression, and two-way tables; Drawing Credible Conclusions; Reeling in overstated results; Questioning claims of cause and effect; Becoming a Sleuth, Not a Skeptic; Part II Number-Crunching Basics; Chapter 4 Crunching Categorical Data.…”
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11
Learn R for Applied Statistics : With Data Visualizations, Regressions, and Statistics.
Table of Contents: “…Reading Data Files; Reading a CSV File; Writing a CSV File; Reading an Excel File; Writing an Excel File; Reading an SPSS File; Writing an SPSS File; Reading a JSON File; Basic Data Processing; Selecting Data; Sorting; Filtering; Removing Missing Values; Removing Duplicates; Some Basic Statistics Terms; Types of Data; Mode, Median, Mean; Mode; Median; Mean; Interquartile Range, Variance, Standard Deviation; Range; Interquartile Range; Variance; Standard Deviation; Normal Distribution; Modality; Skewness; Binomial Distribution; The summary() and str() Functions…”
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12
Machine learning for hackers /
Table of Contents: “…; Inferring the Types of Columns in Your Data; Inferring Meaning; Numeric Summaries; Means, Medians, and Modes; Quantiles; Standard Deviations and Variances; Exploratory Data Visualization; Visualizing the Relationships Between Columns; Chapter 3. …”
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13
Democracy and its Discontents in Latin America.
Table of Contents: “…Table 14.3 Means and Standard Deviations of Variables in the AnalysisTable 14.4 Trust in the Mexican Armed Forces, 2004; Table 14.5 Trust in the Mexican Armed Forces, 2010; Figures; Figure 4.1 Calculation of Regional Inequality Measure; Figure 4.2 Marginal Effect of Regional Inequality by Personal Vote Rank,Latin America; Figure 4.3 Marginal Effect of Interpersonal Inequality by Personal Vote Rank,Latin America; Figure 7.1 Incidence of Poverty, 2005 vs. 2012 (percentage of population); Figure 7.2 Index of Economic Freedom, Leftist Administrations, 1999−2015…”
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Unlocking financial data : a practical guide to technology for equity and fixed income analysts /
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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15
Unlocking financial data : a practical guide to technology for equity and fixed income analysts /
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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16
F♯ for quantitative finance : an introductory guide to utilizing F♯ for quantitative finance leveraging the .NET platform /
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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17
Principles of programming & coding /
Table of Contents: “…3D printing -- Algorithms -- American Standard Code for Information -- Interchange (ASCII) -- Android OS -- Application -- Autonomic computing -- Avatars and simulation -- Binary hexadecimal representations -- Boolean operators -- Branching logic -- Characters and strings -- Cloud computing -- Coding and encryption -- Color coding -- Combinatorics -- Comment programming -- Comparison operators -- Computer animation -- Computer memory -- Computer modeling -- Computer security -- Computer-aided design (CAD) -- Computer-aided design and computer-aided manufacturing software (CAD/CAM) -- Computer-assisted instruction (CAI) -- Conditional operators -- Constraint programming -- Control systems -- Cowboy coding -- CPU design -- Crowdfunding -- Crowdsourcing -- Cryptography -- Data mining -- Data warehouse -- Database design -- Database structuring conventions -- Debugging -- Device drivers -- Diffusion of innovations -- Digital divide -- Digital forensics -- Digital libraries -- Digital native -- Digital photography -- Digital signal processors (DSP) -- Digital watermarking -- Disk operating system (DOS) -- Drone warfare -- Drones -- E-banking -- E-learning -- Electronic circuits -- Electronic communication software -- Encryption -- Error handling -- Event-driven marketing (EDM) -- Expectancy theory -- Experimenter's bias -- Extreme programming -- Firewalls -- Firmware -- Functional electrical stimulation (FES) -- Game programming -- Gamification -- Graphical user interface (GUI) -- Graphics formats -- Guard clause -- HTTP cookie -- Imagined communities -- Incremental development -- Informational technology (IT) -- Information visualization -- Internet Protocol (IP) -- Inversion of control (Hollywood Principle) -- iOS -- Iterative constructs -- Java programming language -- JavaScript -- Knowledge worker -- Levels of processing theory -- Logic synthesis -- Logistics -- Machine learning -- Malware -- Massive open online course (MOOC) -- Meta-analysis -- Metacomputing -- Metadata -- Microprocessors -- Mixed methods research (MMR) -- Mobile apps -- Mobile technology -- Motherboards -- Multiprocessing operating systems (OS) -- Multi-user operating system (OS) -- Naming conventions -- Net neutrality -- Network security -- Neuro-linguistic programming (NLP) -- Neuromarketing -- Neuromorphic chips -- Objectivity -- Object-oriented design (OOD) -- Object-oriented programming (OOP) -- Privacy rights -- Programming languages -- Prototyping -- Quantum computing -- Random access memory (RAM) -- Rapid application development (RAD) -- Rational choice theory -- Search engine optimization (SEO) -- Semantic memory -- Semantics -- Signal processing -- Source code comments -- Spiral development -- Standard deviation -- Standpoint theory -- Statistical inference -- String-oriented symbolic languages (SNOBOL) -- Structural equation modeling (SEM) -- Technology in education -- Test doubles -- Theory of multiple intelligences -- Theory X and Theory Y -- Transformation priority premise (TPP) -- Tree structures -- Turing test -- Uncertainty reduction theory (URT) -- Unicode -- UNIX -- Variables and values -- Waterfall development -- Web design -- Web graphic design -- Working memory -- Worse-is-better -- Time Line of Inventions and Advancements in Programming and Coding.…”
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18
Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R /
Table of Contents: “…Measuring spread -- variance and standard deviationExploring categorical variables; Measuring the central tendency -- the mode; Exploring relationships between variables; Visualizing relationships -- scatterplots; Examining relationships -- two-way cross-tabulations; Summary; Chapter 3: Lazy Learning -- Classification Using Nearest Neighbors; Understanding nearest neighbor classification; The k-NN algorithm; Measuring similarity with distance; Choosing an appropriate k; Preparing data for use with k-NN; Why is the k-NN algorithm lazy?…”
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Robust statistics : theory and methods (with R) /
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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20
Landscape, Land-Change & Well-Being in the Lesser Antilles : Case Studies from the coastal villages of St. Kitts and the Kalinago Territory, Dominica /
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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