Variance Of Random Variable Books
Statistical Methods in Medical Research
Author: Charan Singh Rayat
School: University of Ilorin
Department: Science and Technology
Course Code: STA201
Topics: Theories of Probability, priori probability, Axiomatic theory of probability, Collecting Statistical Data, Tabulated Presentation of Data, Diagrammatic Presentation of Data, Graphic Presentation of Data, Central Tendency, Dispersion, Dispersion, Correlation, Chi-Square Test, Normal Curve, Sampling Distribution, Normal Distribution, Statistical Decision, Variance-Ratio Test, Analysis of Variance, ANOVA, Nonparametric Statistical Tests, Statistical Quality Control in Clinical Laboratories, Quality Control Measures, Applications of Microsoft Excel in Statistical Methods
Elementary Statistics (A Step by Step Approach), 10th edition
Author: Allan Bluman
School: University of Ilorin
Department: Science and Technology
Course Code: STA121
Topics: data description, frequency distribution, graph, ogive, frequency polygon, central tendency, population variance, probability, counting rules, normal distribution, discrete probability distribution, confidence interval, sample size, hypothesis testing, correlation regression, chi-square test, analysis of variance, sampling, simulation, nonparametric statistics, Scheffé Test, turkey test, sampling techniques
Author: Emmanuel Remi Aiyede
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: POL316
Topics: Political Evaluation, Political Evaluation Research, Political Evaluation Research Strategies, measurement, survey process, Survey Instrument, Questionnaire, Data, Data Collection Techniques, population, sample, Probability, Non-probability Sampling, descriptive statistics, inferential statistics, Variables, variable classification, Measures of Central Tendency, Measures of Dispersion, mode, median, mean, variance, standard deviation, Inferential Statistics, Estimation, Hypothesis Testing
Author: Steven Thompson
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Sampling, Sampling Units, Sampling errors, Nonsampling Errors, Simple Random Sampling, Confidence Intervals, Sample Size, Estimating Proportions, Estimating Ratios, Estimating Subpopulation Means, Unequal Probability Sampling, Horvitz-Thompson Estimator, Hansen–Hurwitz Estimator, Auxiliary Data, Ratio Estimation, Ratio Estimator, Small Population Illustrating Bias, Regression Estimation, Linear Regression Estimator, regression model, Multiple Regression Models, Regression Models, Stratified Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Sampling, Multistage Designs, Double Sampling, Two-Phase Sampling, Network Sampling, Link-Tracing Designs, Detectability, Capture–Recapture Sampling, Line-Intercept Sampling, spatial sampling, Spatial Prediction, Kriging, Spatial Covariance Function, Spatial Designs, Adaptive Sampling Designs, Adaptive Sampling, Adaptive Cluster Sampling, Stratified Adaptive Cluster Sampling
Author: Konstantin Zuev
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA221
Topics: Statistical Inference, summarizing data, simple random sampling, population variance, normal approximation, confidence intervals, inference, Maximum Likelihood, Hypothesis Testing, Wald test, t-test, Permutation Test, Likelihood Ratio Test, Testing Mendel’s Theory, Multiple Testing, Regression Function, Regression Model, Scatter Plots, Simple Linear Regression Model, Ordinary Least Squares, Interval Estimation, Prediction, Graphic Residual Analysis
Introduction to Algorithms, 3rd Edition
Author: Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: Algorithms, Insertion sort, analyzing Algorithms, designing Algorithms, growth of functions, asymptotic notation, maximum-subarray problem, Strassen’s algorithm, Probabilistic Analysis, Randomized Algorithms, hiring problem, Indicator random variables, Heapsort, heaps, heapsort algorithm, Priority queues, quicksort, Radix sort, Counting sort, Bucket sort, Data Structures, Hash Tables, has function, open addressing, Perfect hashing, Data Structures, sorting order statistics, Binary Search Trees, Red-Black Trees, Augmenting Data Structures, Dynamic Programming, Greedy Algorithms, Amortized Analysis, B-Trees, Fibonacci Heaps, van Emde Boas Trees, Graph Algorithms, Minimum Spanning Trees, Single-Source Shortest Paths, All-Pairs Shortest Path, maximum flow, Multithreaded Algorithms, Matrix Operations, linear programming, polynomials, Number-Theoretic Algorithms, String Matching, Computational Geometry, NP-Completeness, Polynomial time, Approximation Algorithms
Introduction to probability and distribution material
Author: STA124
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: random variables, Bernoulli trial, Binomial distribution, Poisson distribution, Geometrics, Uniform distribution, normal distribution, Bivariable, marginal distribution, condition distribution, linear regression, correlation, association of attributes
Econometric Analysis ,8th edition
Author: William Greene
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO454
Topics: Linear Regression Model, Econometrics, Least Squares Regression, Hypothesis Tests, Model Selection, Functional Form, Difference in Differences, Structural Change, Nonlinear Regression Models, Semiparametric Regression Models, Nonparametric Regression Models, Endogeneity, Instrumental Variable Estimation, Generalized Regression Model, Heteroscedasticity, Regression Equations, Estimation Frameworks, Estimation Methodology, Minimum Distance Estimation, Generalized Method of Moments, Maximum Likelihood Estimation, Simulation-Based Estimation, Inference, Random Parameter Models, Bayesian Estimation, Cross Sections, Panel Data, Microeconometrics, Binary Outcomes, Discrete Choices, Multinomial Choices, Event Counts, Limited Dependent Variables—Truncation, Censoring, Sample Selection, Time Series, Macroeconometrics, Serial Correlation, Nonstationary Data
Author: Onyemaechi Onwe
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: FMS825
Topics: Research Methodology, Research Process, research, Research Proposal, research project, Research Activity, Research Design, Data Collection, Variables, Sample Selection, Sampling Techniques, Randomness, Randomisation, Research Questions, Questionnaire Design, Hypothesis, Hypothesis testing, Z-Statistic, Non-Parametric Tools, data presentation, data analysis, research report, business research
Biostatistics for Animal Science, 3rd edition
Author: Miroslav Kaps, William Lamberson
School: National Open University of Nigeria
Department: Agriculture and Veterinary Medicine
Course Code: AGR302
Topics: Biostatistics, measures of central tendency, measures of variability, probability, permutations, random variables, Bernoulli Distribution, Binomial Distribution, Geometric Distribution, Hyper-geometric Distribution, Negative Binomial Distribution, Poisson Distribution, Multinomial Distribution, Uniform Distribution, Normal Distribution, Multivariate Normal Distribution, Logistic Distribution, Chi-square Distribution, Gamma Distribution, Exponential Distribution, Beta Distribution, Dirichlet Distribution, population sample, central limit theorem, degrees of freedom, parameters estimation, point estimation, maximum likelihood estimation, interval estimation, hypothesis testing, simple linear regression, simple regression model, partitioning total variability, partial correlation, rank correlation, likelihood ratio test, robust regression, curvilinear regression, polynomial regression, segmented regression, Least Significance Difference, intraclass correlation, experimental error, randomized complete block design, Partitioning Total Variability
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