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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

Bernoulli trials

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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