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121
Analyzing crime patterns : frontiers of practice /
Table of Contents: “…McGuire -- The utility of standard deviation ellipses for evaluating hot spots / by Robert H. …”
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122
Stock markets, investments and corporate behavior : a conceptual framework of understanding /
Table of Contents: “…Expected return; 6.10.2. Variance and standard deviation; 6.10.3. Covariance; 6.10.4. Variance of portfolio returns; 6.10.5. …”
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123
Budget Optimization and Allocation.
Table of Contents: “…TEST CASE 3: MEAN AND STANDARD DEVIATION TECHNIQUE.…”
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124
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125
Mistakes in Quality Statistics and How to Fix Them.
Table of Contents: “…Cover -- Title page -- CIP data -- Table of Contents -- List of Figures and Tables -- Preface -- Chapter 1 -- Hypothesis Tests -- 1.1 HYPOTHESIS TEST FOR TWO POPULATION MEANS -- 1.2 HYPOTHESIS TEST FOR A POPULATION PROPORTION -- 1.3 HYPOTHESIS TEST FOR POPULATION STANDARD DEVIATION -- Chapter 2 -- Correlation and Causation -- 2.1 LURKING VARIABLE -- 2.2 CORRELATION OR CAUSATION? …”
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126
A Monograph of the Genus Microtoena (Lamiaceae)
Table of Contents: “…INDEX TO BOTANICAL NAMES AND SYNONYMS -- DATA OF STANDARD DEVIATION ANALYSIS…”
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127
Handbook of market risk /
Table of Contents: “…2.3 Critics of Efficient Markets Theory2.4 Development of Behavioral Finance; 2.5 Beating the Market: Fundamental versus Technical; 2.5.1 Fundamental Methods; 2.5.2 Technical Analysis; Further Reading; Chapter Three: Return and Volatility Estimates; 3.1 Standard Deviation; 3.2 Standard Deviation with a Moving Observation Window; 3.3 Exponentially Weighted Moving Average (EWMA); 3.4 Double (Holt) Exponential Smoothing Model (DES); 3.5 Principal Component Analysis (PCA) Models; 3.6 The VIX; 3.7 Geometric Brownian Motion Process; 3.8 GARCH; 3.9 Estimator Using the Highest and Lowest.…”
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128
Biostatistics with 'R' : a guide for medical doctors /
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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129
Foundations of applied statistical methods /
Table of Contents: “…Intro -- Preface -- Contents -- Chapter 1: Description of Data and Essential Probability Models -- 1.1 Types of Data -- 1.2 Description of Data -- 1.2.1 Distribution -- 1.2.2 Description of Categorical Data -- 1.2.3 Description of Continuous Data -- 1.2.4 Stem-and-Leaf Plot -- 1.2.5 Box-and-Whisker Plot -- 1.3 Descriptive Statistics -- 1.3.1 Statistic -- 1.3.2 Central Tendency Descriptive Statistics for Quantitative Outcomes -- 1.3.3 Dispersion Descriptive Statistics for Quantitative Outcomes -- 1.3.4 Variance -- 1.3.5 Standard Deviation…”
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130
Schaum's Outline of Statistics /
Table of Contents: “…Cover -- Title Page -- Copyright Page -- Dedication -- Preface to the Sixth Edition -- Preface to the Fourth Edition -- Preface to the Third Edition -- Preface to the Second Edition -- Contents -- Chapter 1 Variables and Graphs -- Statistics -- Population and Sample; Inductive and Descriptive Statistics -- Variables: Discrete and Continuous -- Rounding of Data -- Scientific Notation -- Significant Figures -- Computations -- Functions -- Rectangular Coordinates -- Graphs -- Equations -- Inequalities -- Logarithms -- Properties of Logarithms -- Logarithmic Equations -- Chapter 2 Frequency Distributions -- Raw Data -- Arrays -- Frequency Distributions -- Class Intervals and Class Limits -- Class Boundaries -- The Size, or Width, of a Class Interval -- The Class Mark -- General Rules for Forming Frequency Distributions -- Histograms and Frequency Polygons -- Dot Plots and Box Plots -- Relative-Frequency Distributions -- Cumulative-Frequency Distributions and Ogives -- Relative Cumulative-Frequency Distributions and Percentage Ogives -- Frequency Curves and Smoothed Ogives -- Types of Frequency Curves -- Chapter 3 The Mean, Median, Mode, and Other Measures of Central Tendency -- Index, or Subscript, Notation -- Summation Notation -- Averages, or Measures of Central Tendency -- The Arithmetic Mean -- The Weighted Arithmetic Mean -- Properties of the Arithmetic Mean -- The Arithmetic Mean Computed from Grouped Data -- The Median -- The Mode -- The Empirical Relation Between the Mean, Median, and Mode -- The Geometric Mean G -- The Harmonic Mean H -- The Relation Between the Arithmetic, Geometric, and Harmonic Means -- The Root Mean Square -- Quartiles, Deciles, and Percentiles -- Software and Measures of Central Tendency -- Chapter 4 The Standard Deviation and Other Measures of Dispersion -- Dispersion, or Variation -- The Range -- The Mean Deviation -- The Semi-Interquartile Range -- The 10-90 Percentile Range -- The Standard Deviation -- The Variance -- Short Methods for Computing the Standard Deviation -- Properties of the Standard Deviation -- Charlier's Check -- Sheppard's Correction for Variance -- Empirical Relations Between Measures of Dispersion -- Absolute and Relative Dispersion; Coefficient of Variation -- Standardized Variable; Standard Scores -- Software and Measures of Dispersion -- Chapter 5 Moments, Skewness, and Kurtosis -- Moments -- Moments for Grouped Data -- Relations Between Moments -- Computation of Moments for Grouped Data -- Charlier's Check and Sheppard's Corrections -- Moments in Dimensionless Form -- Skewness -- Kurtosis -- Population Moments, Skewness, and Kurtosis -- Software Computation of Skewness and Kurtosis -- Chapter 6 Elementary Probability Theory -- Definitions of Probability -- Conditional Probability; Independent and Dependent Events -- Mutually Exclusive Events -- Probability Distributions -- Mathematical Expectation -- Relation Between Population, Sample Mean, and Variance -- Combinatorial Analysis.…”
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131
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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132
Statistics for Human Service Evaluation
Table of Contents: “…6 Analyzing Data When You Are Comparing Two Groups Using the Independent t Test and Chi Square7 Analyzing Data When You Are Evaluating a Single Client Using the One-Sample t Test, the Standard Deviation, and the Binomial Test; 8 Explaining Client Gain Using the Independent t Test, Analysis of Variance, Correlation Coefficients, and Multiple Regression Analysis; 9 A Synopsis of Selected Statistical Tests for Examining Nominal Data Chi Square, Phi Coefficient, Contingency Coefficient, McNemar Test, and Binomial Test…”
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133
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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134
A guide for the statistically perplexed : selected readings for clinical researchers /
Table of Contents: “…: indices of central tendency -- Maintaining standards : differences between the standard deviation and standard error and when to use each -- Breaking up is hard to do : the heartbreak of dichotomizing continuous data -- Pick a number : sample size and power in psychiatric research -- Speaking graphically : an introduction to some new graphing techniques -- Let me count the ways : measuring incidence, prevalence, and impact in epidemiological studies -- Risky business : making sense of estimates of risk -- More advanced statistics. …”
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135
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136
Basic Statistics for Social Research.
Table of Contents: “…Index of Qualitative Variation -- Segregation Index (or Index of Dissimilarity) -- Dispersion of Interval/Ratio Data -- The Range -- The Interquartile Range -- Mean Absolute Deviation -- Variance -- Standard Deviation -- Coefficient of Variation -- SUMMARY -- KEY TERMS -- CHECK QUIZ ANSWERS -- EXERCISES -- Chapter 5 Describing the Shape of a Distribution -- The Basic Ideas of Distributional Shape -- The Shape of Nominal and Ordinal Distributions -- Visualizing Shape with the Box-and-Whiskers Plot -- Unimodality -- The Basic Idea -- Applying the Idea -- Skewness -- The Basic Idea…”
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137
Fundamentals of nuclear pharmacy /
Table of Contents: “…2.2.2 Half-Life and Mean Life2.2.3 Units of Radioactivity; 2.2.4 Calculations; 2.3 Successive Decay Equations; 2.3.1 General Equation; 2.3.2 Transient Equilibrium; 2.3.3 Secular Equilibrium; 2.4 Statistics of Counting; 2.4.1 Error, Accuracy, and Precision; 2.4.2 Standard Deviation; 2.4.3 Standard Deviation of Count Rates; 2.4.4 Propagation of Errors; Suggested Reading; 3: Instruments for Radiation Detection and Measurement; 3.1 Gas-Filled Detectors; 3.1.1 Dose Calibrators; 3.1.2 Geiger#x80;#x93;MÃơller Counters; 3.2 Scintillation-Detecting Instruments; 3.2.1 Collimator.…”
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138
R data science essentials : learn the essence of data science and visualization using R in no time at all /
Table of Contents: “…Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with R; Reading data from different sources; Reading data from a database; Data types in R; Variable data types; Data preprocessing techniques; Performing data operations; Arithmetic operations on the data; String operations on the data; Aggregation operations on the data; Mean; Median; Sum; Maximum and minimum; Standard deviation; Control structures in R; Control structures -- if and else; Control structures -- for; Control structures -- while…”
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139
Hands-on exploratory data analysis with Python : perform EDA techniques to understand, summarize, and investigate your data /
Table of Contents: “…Computing indicators/dummy variables -- String manipulation -- Benefits of data transformation -- Challenges -- Summary -- Further reading -- Section 2: Descriptive Statistics -- Chapter 05: Descriptive Statistics -- Technical requirements -- Understanding statistics -- Distribution function -- Uniform distribution -- Normal distribution -- Exponential distribution -- Binomial distribution -- Cumulative distribution function -- Descriptive statistics -- Measures of central tendency -- Mean/average -- Median -- Mode -- Measures of dispersion -- Standard deviation -- Variance -- Skewness…”
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140
Principles of GNSS, inertial, and multi-sensor integrated navigation systems /
Table of Contents: “…-- Inertial Navigation -- Radio and Satellite Navigation -- Feature Matching -- The Complete Navigation System -- Navigation Mathematics -- Coordinate Frames, Kenematics, and the Earth -- Coordinate Frames -- Kinematics -- Earth Surface and Gravity Models -- Frame Transformations -- The Kalman Filter -- Introduction -- Algorithms and Models -- Implementation Issues -- Extensions to the Kalman Filter -- Navigation Systems -- Inertial Sensors -- Acceleromoters -- Gyroscopes -- Inertial Measurement Units -- Error Characteristics -- Inertial Navigation -- Inertial-Frame Navigation Equations -- Earth-Frame Navigation Equations -- Local-Navigation-Frame Navigation Equations -- Navigations Equations Precision -- initialization and Alignment -- INS Error Propagation -- Platform INS -- Horizontal-Plane Inertial Navigation -- Satellite Navigation Systems -- Fundamentals of Satellite Navigation -- Global Positioning System -- GLONASS -- Galileo -- Regional Navigation Systems -- GNSS Interoperability -- Satellite Navigation Processing, Errors, and Geometry -- Satellite Navigation Geometry -- Receiver Hardware and Antenna -- Ranging Processor -- Range Error Sources -- Navigation Processor -- Advanced Satellite Navigation -- Differential GNSS -- Carrier-Phase Positioning and Attitude -- Poor Signal-to-Noise Environments -- Multipath Mitigation -- Signal Monitoring -- Semi-Codeless Tracking -- Terrestrial Radio Navigation -- Point-Source Systems -- Loran -- Instrument Landing System -- Urban and Indoor Positioning -- Relative Navigation -- Tracking -- Sonar Transponders -- Dead Reckoning, attitude, and Height Measurement -- Height and Depth Measurement -- Odometers -- Pedestrian Dead Reckoning -- Doppler Radar and Sonar -- Other Dead-Reckoning Techniques -- Feature Matching -- Terrain-Referenced NAvigation -- Image Matching -- Map Matching -- Other Feature-Matching Techniques -- Integrated Navigation -- INS/GNSS Integration -- Integration Architectures -- System Model and State Selection -- Measurement Models -- Advanced INS/GNSS Integration -- INS Alignment and Zero Velocity Updates -- Transfer Alignment -- Quasi-Stationary Alignment with Unknown Heading -- Quasi-Stationary Fine Alignment and Zero Velocity Updates -- Multisensor Integrated Navigation -- Integration Architectures -- Terestrial Radio Navigation -- Dead Reckoning, Attitude, and Height Measurement -- Feature Mapping -- Fault Detection and Integrity Monitoring -- Failure Modes -- Range Checks -- Kalman Filter Measurement Innovations -- Direct Consistency Checks -- Certified Integrity Monitoring -- Vectors and Matrices -- Introduction to Vectors -- Introduction to Matrices -- Special Matrix Types -- Matrix Inversion -- Calculus -- Statistical Measures -- Mean, Variance, and Standard Deviation -- Probability Density Function -- Gaussian Distribution -- Chi-Square Distribution.…”
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