Histogram Modification Books
Author: CBU Nwakwe
School: University of Ibadan
Department: Education
Course Code: GCE205
Topics: Behavior Modification, behavior, Behaviour Problems, Behavior Modification, history, Classical Conditioning Model, Pavlovian Paradigm, Operant Conditioning Objectives, Operant Conditioning, Behaviour Modification Techniques, social learning model, behavior change, Intrapsychic approach, Behavioural Approach, problem behaviour, Behavior Modification application
Introduction to digital image processing
Author: William Pratt
School: National Open University of Nigeria
Department: Science and Technology
Course Code: CIT891
Topics: digital image processing, Continuous Image Mathematical Characterization, Continuous Image Characterization, light perception, eye physiology, visual phenomena, monochrome vision model, Photometry, Colorimetry, color matching, color spaces, image sampling, image reconstruction, Monochrome Image Sampling Systems, Monochrome Image Reconstruction Systems, Color Image Sampling Systems, image measurement, Discrete Image Mathematical Characterization, Vector-Space Image Representation, Generalized Two-Dimensional Linear Operator, Image Statistical Characterization, Image Probability Density Models, Linear Operator Statistical Representation, Finite-Area Superposition, Finite-Area Convolution, Sampled Image Superposition, Sampled Image Convolution, Circulant Superposition, circulant Convolution, General Unitary Transforms, Fourier transform, cosine transform, sine transform, Hartley transform, Hadamard Transforms, Haar Transforms, Daubechies Transforms, Karhunen–Loeve Transform, wavelet transforms, Linear Processing Techniques, Transform Domain Processing, Transform Domain Superposition, Fast Fourier Transform Convolution, Fourier Transform Filtering, image improvement, Image Enhancement, Contrast Manipulation, Histogram Modification, noise cleaning, Edge Crispening, Color Image Enhancement, Multispectral Image Enhancement, image restoration, image restoration models, Continuous Image Spatial Filtering Restoration, Pseudoinverse Spatial Image Restoration, Statistical Estimation Spatial Image Restoration, Multi-Plane Image Restoration, Geometrical Image Modification, Morphological Image Processing, binary image, Edge Detection, Image Feature Extraction, Image Segmentation, shape analysis, Image Detection, image Registration, Point Processing Image Compression, image compression, video compression, Spatial Processing Image Compression
Author: Rasheed Adeyemi
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: STA117
Topics: Scope of Statistics, statistical data, data types, scale of measurements, data collection, survey sampling techniques, Data presentation, Bar Charts, Histogram, polygons, graphs, Errors, approximation, Frequency, relative frequency, cumulative frequency distributions, Measure of location, Measure of dispersion, Skewness, Kurtosis, Rates, Ratios, index numbers, weight quantity, Rates, Ratio, index numbers
Probability and Statistics, The Science of Uncertainty, 2nd Edition
Author: Michael Evans, Jeffrey Rosenthal
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA301
Topics: probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes
Author: STA FUTO
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA431
Topics: Statistical Computing, file management, data entry, Data Manipulation, sort data, Standardize data, Descriptive Statistics, Chi-square, Frequencies, Normality test, graphs icon, scatter plot, error bars, histogram, Bar Chart, Line Graph, Pie Chart, Paired-sample t-test, ANOVA, Pearson's Correlation, Spearman's Correlation, covariance, linear regression, Straight Line Fit, Curved Line Fit, Multiple Linear Regression
Quantitative techniques in business, management and finance a case-study approach
Author: Umeshkumar Dubey, DP Kothari, GK Awari
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM307
Topics: Quantitative Decision Making, Quantitative Techniques, data collection, statistical methods, Quantitative Methods.Arranging Data, published data, unplublished data, primary data, Data Presentation Devices, Frequency Distribution, graphs, histogram, frequency polygon, frequency curve, Cumulative Frequency Distribution, Skewness, Kurtosis, Measures of Central Tendency, Arithmetic Mean, median, quantile, mode, variation, range, mean deviation, average deviation, standard deviation, variance, Bienayme–Chebyshev Rule, Probability Theory, Probability, Probability Rules, Conditional Probability, Set Theory, Venn Diagram, Statistical Decision Theory, Decision Theory, determinants, Business Decision Theory, Stochastic Business Situation, Linear Programming, Linear Programming Problem, Sampling Theory, Sampling Methods, sampling, Simple Random Sampling, Stratified Random Sampling, Systematic Random Sampling, Quasi-Random Sampling, Interval Sampling, Cluster Sampling, Multi-Stage Random Sampling, area sampling, quota sampling, error, Hypothesis Testing, Probability Distributions, Binomial Distribution, Poisson Distribution, Normal Probability Distribution, t-Test, Chi-Square Test, Business Forecasting, Correlation Analysis.Correlation, Regression Analysis, Regression, Least-Squares Method, Standard Error of Estimate, Multiple Regressions, Time Series Analysis, Seasonal Variations, Cyclical Variations, business cycle, Irregular Variations, Random Movements, Unpredictable Movements, Erratic Variations, Accidental Variations, Research Methodology, Research Approach
Author: Mubashir Uthman
School: University of Ilorin
Department: Medical, Pharmaceutical and Health science
Course Code: EPIDEMIOLOGY AND COMMUNITY HEALTH200
Topics: Statistics, variables, measurement, data, Descriptive Statistics, Qualitative data, quantitative data, Frequency Distribution Table, Graphical Presentation, frequency intervals, Histogram, Pie Chart, Measures of Central Tendency, Measures of Dispersion, mean, median, skewness, Mode, Variability, Range, quartile, Variance, percentile, Standard Deviation
Author: Chemical Pathology
School: University of Ilorin
Department: Medical, Pharmaceutical and Health science
Course Code: CHEMICAL PATHOLOGY
Topics: Complete blood count, Hemoglobin, Total Red Blood Cell Count, Hematocrit, spun hematocrit, Centrifuged blood, Mean Corpuscular Volume, Red Cell Distribution Histogram, Red Blood Cell Distribution Width, Red Blood Cell Distribution, White Blood Cell Count, White Blood Cell differential, Platelet Count, Basic Metabolic Panel, sodium, Potassium, calcium, Chloride, Creatinine, Complete Metabolic Panel, Metabolic Panel, Albumin, Alkaline Phosphatase, Aspartate Aminotransferase
Introduction to Quantitative Methods 2
Author: MAKU Olukayode Emmanuel
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO154
Topics: Quantitative Methods, Statistics, Collection of Data, data, Organization of Data, Representation o Data, tables, graphs, charts, histogram, curves, Measures of Central Tendency, Measures of Dispersion, Moment, Skewness, Kurtosis, Probability, Experimental Probability, Random Variable, Index Numbers, Weighted Index Number
Advanced Multimedia Technology
Author: Ikhu-Omoregbe Nicholas
School: National Open University of Nigeria
Department: Science and Technology
Course Code: CIT891
Topics: Multimedia Technology, Multimedia systems, Multimedia requirements, elements of Multimedia, Multimedia signal representation, Multimedia processing, image compression, video compression, image Processing, Human Visual System, data transform, Image Perception, Image Enhancement, Histogram Analysis, morphological operators, Image Restoration, Feature Detection, Pattern Matching, image coding, video coding, motion estimation, image compression standards, video compression standards
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