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From goals to data and back again : adding backbone to developmental intervention for children with autism /
Table of Contents: “…Measuring Reliability -- The Standard Deviation; 9. Exceptions That Prove the Rule -- Factor Data; 10. …”
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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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Budget Optimization and Allocation.
Table of Contents: “…TEST CASE 3: MEAN AND STANDARD DEVIATION TECHNIQUE.…”
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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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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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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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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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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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12
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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Engaging the avatar : new frontiers in immersive education /
Table of Contents: “…""Student recommendations for environmental features""""student recommendations for window/ lighting features""; ""student recommendations for floor design""; ""student recommendations for wall design""; ""student recommendations for roof/ceiling design""; ""student recommendations for seating arrangements""; ""student recommendations for space design""; ""student recommendations for entrance design""; ""student recommendations for space circulation design""; ""total number of votes and standard deviation percentage between student categories per design element""; ""future research""…”
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The Question of Meter in Biblical Hebrew Poetry.
Table of Contents: “…Accentual Meter: BeowulfAccentual- Syllabic Meter: Shakespeare's Sonnets (I-X); The NonMeterical Control; Birth of Moses (Exod 2:1-10); Ruth 1; Summary; The Texts; Words and Accents; Syllabification and Vocalization; Lamentations 1; Lamentations 2; Lamentations 3; Lamentations 4; Lamentations 5; A Worthy Woman (Prov 31:10-31); Psalm 25; Psalm 34; Psalm 37; Psalm 111; Psalm 112; Psalm 119; Psalm 145; David's Lament over Saul and Jonathan (2 Sam 1:19-27); Conclusions; Regularity; Standard Deviation; Range; Relative Frequency Distribution Histograms; Excursus: Qinah Meter; Chapter 4: Conclusions.…”
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A functional approach to educational research methods and statistics : qualitative, quantitative, and mixed methods approaches /
Table of Contents: “…Measures of VariabilityComputing the Standard Deviation in SPSS; Computing Correlation Coefficients; A Determined Effort: squaring the correlation coefficient!!…”
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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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Blood donations : attitudes, safety and future directions /
Table of Contents: “…Average and Range Charts; 6.2.3. Average and Standard Deviation Charts; 6.2.4. Interpreting Control Charts; 6.3. …”
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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 /
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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Introduction to probability and statistics for engineers and scientists /
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 /
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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