Square Key Books
Author: OI Shittu
School: University of Ibadan
Department: Education
Course Code: SPE321
Topics: Statistical Inference, Point Estimation Techniques, Least Squares Method, Simple Linear Model, Least Squares Estimator, Maximum Likelihood, Cramer–Rao lower bound, Sufficiency, Fisher-Neyman Criterion, Test of Hypothesis
Introduction to Statistical Inference material
Author: Afolayan
School: University of Ilorin
Department: Science and Technology
Course Code: STA134
Topics: index number, Laspeyres index, Paasche index, demographic measure, ratio, rate, point estimation, interval estimation, Estimator, Mean Square Error, Minimum Variance Unbiased Estimator, Mean Square Error, Minimum Variance Unbiased Estimator, Hypothesis Testing, terms, Single Population Variance
Numerical methods for engineers ,8th edition
Author: Steven Chapra, Raymond Canale
School: University of Uyo
Department: Engineering
Course Code: GRE411
Topics: Mathematical Modeling, Engineering Problem Solving, Programming, Software, structured programming, Modular Programming, EXCEL, MATLAB, Mathcad, Significant Figures, accuracy, precision, error, Round-Off Errors, Truncation Errors, Taylor Series, Bracketing Methods graphical method, bisection method, False-Position Method, Simple Fixed-Point Iteration, Newton-Raphson Method, secant method, Brent’s Method, multiple roots, Roots of Polynomials, Müller’s Method, Bairstow’s Method, Roots of Equations pipe friction, Gauss Elimination, Naive Gauss Elimination, complex systems, Gauss-Jordan, LU Decomposition, Matrix Inversion, Special Matrices, Gauss-Seidel, Linear Algebraic Equations, Steady-State Analysis, One-Dimensional Unconstrained Optimization, Parabolic Interpolation, Golden-Section Search, Multidimensional Unconstrained Optimization, Constrained Optimization, linear programming, Nonlinear Constrained Optimization, Least-Squares Regression, linear regression, polynomial regression, Multiple Linear Regression, Nonlinear Regression, Linear Least Squares, interpolation, Newton’s Divided-Difference Interpolating Polynomials, Lagrange Interpolating Polynomials, Inverse Interpolation, Spline Interpolation, Multidimensional Interpolation, Fourier Approximation, Curve Fitting, Sinusoidal Functions, Continuous Fourier Series, Fourier Integral, Fourier Transform, Discrete Fourier Transform, Fast Fourier Transform, power spectrum, Newton-Cotes Integration Formulas, Trapezoidal Rule, Simpson’s Rules, multiple integrals, Newton-Cotes Algorithms, Romberg Integration, Adaptive Quadrature, Gauss Quadrature, Improper Integrals, Monte Carlo Integration, Numerical Differentiation, High-Accuracy Differentiation Formulas, Richardson Extrapolation, partial derivatives, Numerical Integration, Runge-Kutta Method, Euler’s Method, Boundary-Value Problems, Eigenvalue Problems, Finite Difference, Elliptic Equations, Laplace equation, Boundary Condition, Heat-Conduction Equation, Crank-Nicolson Method, Finite-Element Method
Author: CAROLINE ATURU-AGHEDO, KADIRI KAYODE
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: BUS722
Topics: Business Statistics, Data Collection, Decision Making Process, Summarizing Data, Graphical Presentation of Data, Measures of Central Tendency, Arithmetic Mean, Geometric Mean, Harmonic Mean, Median, Mode, Measures of Dispersion, Set theory, Permutation, Combination, Probability Rules, Events, Bayes' Theorem, Probability Distribution, Discrete Random Variable, Correlation Theory, Pearson‘s Correlation Coefficient, Spearman‘s Regression Analysis, Lease Square Regression Analysis, Multiple Regression Analysis, T-test, F-Test, Chi-square, ANOVA
Author: Samuel Olumuyiwa Olusanya
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO355
Topics: Econometrics, Econometrics Model, Linear Regression, Regression Analysis, Ordinary Least Square Method Estimation, Classical Least Regression Method, Ordinary Least Square Estimators, Coefficient of Determination, Classical Normal Linear Regression Model, NORMAL LINEAR REGRESSION MODEL, SINGLE- EQUATION REGRESSION MODELS, ECONOMETRICS ANALYSIS, Method Of Maximum Likelihood, Confidence intervals, Regression Coefficients, Regression Analysis, Analysis of Variance, Normality
Author: Likita Ogba
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO453
Topics: Applied Econometrics, Applied Econometric Research, Model Estimation, Forecasting, Seasonal Variation, Two stage Least Square, Simultaneous Equation, Instrumental Variable Method, Full Information Likelihood Method, Three Stage Least Square
Author: Okojie Daniel Esen
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO253
Topics: Bernoulli Distribution, Binomial Distribution, Normal Distribution, Poisson Distribution, Probability, Statistic Distribution Functions, Statistical Hypothesis Test, T-test, F-test, Chi square test, ANOVA, Correlation Coefficient Analysis, Regression Coefficient Analysis, Pearson’s Correlation Coefficient, Spearman’s Rank Correlation Coefficient, Least Square Regression Line, Central Limit Theory, Central Limit Theorems, law of large numbers, Index Number, Statistical Data, Sample, Sampling Techniques
Author: Likita Ogba
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO454
Topics: Applied Econometrics, Applied Econometric Research, Model Estimation, Forecasting, Seasonal Variation, Two stage Least Square, Simultaneous Equation, Instrumental Variable Method, Full Information Likelihood Method, Three Stage Least Square
Author: Kadiri Kayode
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: SMS202
Topics: Business Statistics, Measurement of Variables, Measurement of Dispersion, Skewness, Kurtosis, Decision Analysis, index number, statistical data, sample, sampling theory, estimation theory, Correlation Theory, Goodness of Fit, Pearson’s Correlation Co-efficient, Spearman’s Regression Analysis, Ordinary Lease Square Estimation, Regression, Multiple Regression Analysis, statistical test, Chi-Square Distribution, ANOVA, Forecasting, Time Series Analysis
Author: Kadiri Kayode
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: FMS202
Topics: Business Statistics, Measurement of Variables, Statistics, Measurement of Dispersion, Skewness, Kurtosis, Decision Analysis, Administration, Index Number, sampling theories, statistical data, sample, sampling theory, Estimation Theory, Correlation Theory, Goodness of Fit, correlation, Pearson’s Correlation Co-efficient, Spearman’s Regression Analysis, Ordinary Lease Square Estimation, Regression, Multiple Regression Analysis, Regression Analysis, Hypothesis test, T-test, F- Tests, Chi-Square Distribution, ANOVA, Forecasting, Time Series Analysis, Statistical test
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