Data Representation Books
Introduction to information theory and data compression ,2nd edition
Author: Darrel Hankerson, Greg Harris, Peter Johnson
School: National Open University of Nigeria
Department: Science and Technology
Course Code: CIT891
Topics: information theory, data compression, Elementary Probability, Discrete memoryless channels, channels, channel capacity, coding theory, Lossless Data Compression, data compression, Arithmetic Coding, higher-order modeling, Higher-order arithmetic coding, Gallager’s method, Knuth’s algorithm, Dictionary Methods, Transform Methods, Image Compression
Agricultural Statistics And Data Processing
Author: Isaac Adeyinka
School: National Open University of Nigeria
Department: Agriculture and Veterinary Medicine
Course Code: AGR302
Topics: Agricultural Statistics, Data Processing, population, sample, frequency distribution, measures of variation, measures of location, probability, probability distributions, Descriptive Statistics, sampling, data collection, data processing techniques, inference, hypothesis testing, variance analysis, Correlation analysis, regression analysis, Covariance analysis, goodness of fit, Chi-Square Test, Field experimentation
Introduction to Statistics and Data Analysis
Author: Christian Heumann, Michael Schomaker, Shalabh
School: University of Nigeria, Nsukka
Department: Science and Technology
Course Code: STA205
Topics: Framework, Descriptive Statistics, Population, Sample, Observations, Frequency Measures, Graphical Representation of Data, Measures of Central Tendency, Measures of Dispersion, Measures of Concentration, lorenz curve, discrete variables, continours variables, probability calculus, combinatorics, probability theory, random variables, probability distribution, inductive statistics, hypothesis testing, parametric test, linear regression
Author: Michael de Smith
School: University of Ibadan
Department: Science and Technology
Course Code: STA231, STA322, STA351, STA415
Topics: Statistical Analysis, statistical data, statistical method, sampling, sample size, data preparation, data cleaning, missing data, data errors, statistical error, probability theory, odds, risk, frequentist probability theory, Bayesian probability theory, probability distribution, statistical modelling, computational statistics, inference, bias, confounding, hypothesis testing, statistical significance, confidence intervals, Non-parametric analysis, descriptive statistics, measures of central tendency, statistical indices, key functions, matrix, data transformation, data standardization, Box-cox, power transforms, Freeman-turkey transform, log transform, exponential transforms, logit transform, Normal transform, Z-transform, data exploration, graphic, visualization, exploratory data analysis, randomness, randomization, random numbers, random permutations, correlation, autocorrelation, probability distributions, eestimations, estimators, Maximum likelihood estimation, Bayesian estimation, z-test, T-test, variance test, contigency tables, randomized block designs, factorial designs, Analysis of variance, Analysis of covariance, ANOVA, MANOVA, ANCOVA, regression, smoothing, time series analysis
Principles of Data Mining, 3rd edition
Author: Max Bramer
School: University of Ilorin
Department: Science and Technology
Course Code: CSC405, ICS402
Topics: data mining, classification, Naıve Bayes Classifiers, Nearest Neighbour Classification, decision tree, continuous attributes, entropy, ROC, ensemble classification, comparing classifiers, association rule mining, clustering, text mining, classifying streaming data
An Introduction to Statistical Methods and Data Analysis, Seventh Edition
Author: Lyman Ott, Michael Longnecker
School: University of Ilorin
Department: Science and Technology
Course Code: STA124, STA131, STA204, STA224, STA351, ECN414, STA433
Topics: Experimental Studies, Data Description, Probability, Probability Distributions, Population Central Values, inference, Multiple Comparisons, Categorical Data, Linear Regression, Correlation, Multiple Regression, General Linear Model, Analysis of Variance, Analysis of Covariance, Split-Plot, Repeated Measures, Crossover Designs
Author: TT304
School: Modibbo Adama University of Technology
Department: Engineering
Course Code: TT304
Topics: data abstration, data model, relational database model, relational model
Author: Uddin Osemengbe
School: Edo University
Department: Science and Technology
Course Code: CSC122
Topics: Data structure, algorithms, Algorithm Analysis, Algorithm Complexity, Space Complexity
Graph plotting and data handling (Experiment 1)
Author: OT Olurin, SA Ganiyu, PO Adebambo, AI Egunjobi, KD Ajayi
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: PHS191
Topics: Graph plotting, data handling
Author: ECE407
School: Federal University of Technology, Owerri
Department: Engineering
Course Code: ECE407
Topics: Database, file system
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