Variable Books
Introduction to probability and distribution lecture note 2
Author: Favour
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: mean of random variable, variance of random variable, continuous random variable, probability density function, probability distribution function, mean continuous of random variable, variance continuous of random variable, discrete distribution, Bernoulli distribution, binomial distribution, Poisson distribution, geometric distribution, uniform distribution, continuous distribution, normal distribution, cumulative distribution function, Bivariate probability distribution, conditional probability distribution function
Basic Econometrics ,Fifth Edition
Author: Damodar Gujarati, Dawn Porter
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting, econometrics
Basic econometrics Student solutions manual for use with Basic econometrics
Author: Damodar Gujarati, Dawn Porter
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: econometrics, Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting
Introduction to Econometrics 2
Author: GA Adesina-Uthman, Okojie Daniel Esene
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO356
Topics: Sampling Theory, Variance, Correlation, Econometrics, Random Variables, Sampling Theory, Covariance, Variance, Correlation, Regression Models, Hypothesis Testing, Dummy Variables.Simple Regression Analysis, Regression Coefficients, Multiple Regression Analysis, Multicollinearity, Transformations of Variables, regression variables, Heteroscedasticity/Heteroskedasticity, Autocorrelation, Error, Econometric Modelling, Stochastic Regression, measurement errors, Autocorrelation, Econometric Modelling, Time Series Data Models, Simultaneous Equation, Binary Choice, Maximum Likelihood Estimation
Introduction to econometrics ,3rd edition
Author: Christopher Dougherty
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM306
Topics: Random variables, sampling theory, Covariance, variance, correlation, Simple regression analysis, regression coefficients, hypothesis testing, Multiple regression analysis, Transformations of variables, Dummy variables, Heteroscedasticity, Stochastic regressors, measurement errors, Binary choice, limited dependent models, maximum likelihood estimation, Autocorrelation
Intuitive Probability and Random Processes Using MATLAB
Author: Steven Kay
School: University of Ilorin
Department: Science and Technology
Course Code: MAT214, MAT335, PHY416, ELE576
Topics: computer simulation, probability, conditional probability, discrete random variables, conditional probability, mass functions, Discrete N-Dimensional Random Variables, Conditional Probability Density Functions, Continuous N-Dimensional Random Variables, Moment Approximations, limit theorem, MATLAB, random process, Wide Sense Stationary Random Process, linear system, Gaussian Random Process, Poisson Random Process, markov chains
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: STA124
School: University of Ilorin
Department: Science and Technology
Course Code: STA124
Topics: Bernoulli trials, Poisson Random Variable, Poisson Process, Geometric distribution, Negative Binomial, Hypergeometric random variables, Exponential Random Variables, Gamma Random Variable, Multivariate normal, Mixture models
Econometric Methods ,Fourth Edition
Author: Jack Johnston, John DiNardo
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC312
Topics: Maximum Likelihood Estimation, k-variable Linear Equation, Partial Correlation Coefticients, Specilkation Error, Parameter Constancy, Dummy Variables, Maximum Likelihood, Generalized Least Squares, Instrumental Variable Estimators, heteroscedasticity, autocorrelation, Estimation Under Heteroscedasticity, Autocorrelated Disturbances, Univariate Time Series Modeling, Autoregressive Distributed Lag Relationships, Multiple Equation Models, Vector Autoregressions, Simultaneous Structural Equation Models, Panel Data
Essential mathematics for economic analysis ,5th edition
Author: Knut Sydsæter, Peter Hammond, Andr´es Carvajal, Arne Strøm
School: National Open University of Nigeria
Department: Administration, Social and Management science
Course Code: ECO256
Topics: Economic analysis.LOGIc, SET THEORY, ALGEBRA, SOLVING EQUATIONS, FUNCTIONS OF ONE VARIABLE, PROPERTIES OF FUNCTIONS, DIFFERENTIATION, SINGLE-VARIABLE OPTIMIZATION, INTEGRATION, FINANCIAL MATHEMATICS, COMPARATIVE STATICS, MULTIVARIABLE OPTIMIZATION, CONSTRAINED OPTIMIZATION, MATRIX, VECTOR ALGEBRA, DETERMINANTS, INVERSE MATRICES, LINEAR PROGRAMMING
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