Network Model Books
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
Two-Sector Model of Income Determination
Author: Ebotemen Wilson
School: Edo University
Department: Administration, Social and Management science
Course Code: ECO312
Topics: Income Determination, Balance Budget Multiplier, Consumption Function, Keynes Absolute Income Hypothesis, Duesenberry’s Relative Income hypothesis, Life time Income hypothesis
Econometrics Methods and Models 1
Author: Bruce Hansen, Oyeleke Famade
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: CC407
Topics: Correlation Analysis, Regression Analysis
WHO Model List of Essential Medicines ,20th edition
Author: World health organization
School: University of Ilorin
Department: Medical, Pharmaceutical and Health science
Course Code: PHARMACOLOGY400
Topics: ANAESTHETICS, PREOPERATIVE MEDICINES, Inhalational medicines, Injectable medicines, Local anaesthetics, Non-opioids, non-steroidal anti-inflammatory medicines, Opioid analgesics, ANTIALLERGICS, anaphylaxis, ANTICONVULSANTS, ANTIEPILEPTICS, antidotes, ANTI-INFECTIVE MEDICINES, Anthelminthics, Intestinal anthelminthics, Antifilarials, Antibacterials, antibiotics, Beta-lactam medicines, Antileprosy medicines, Antituberculosis medicines, Antifungal medicines, Antiretrovirals, Nucleoside, Nucleotide reverse transcriptase inhibitors, Non-nucleoside reverse transcriptase inhibitors, Protease inhibitors, Integrase inhibitors, Antihepatitis medicines, Nucleotide polymerase inhibitors, Protease inhibitors, antivirals, Antiprotozoal medicines, Antiamoebic medicines, antigiardiasis medicines, Antileishmaniasis medicines, Antimalarial medicines, Antipneumocystosis medicines, antitoxoplasmosis medicines, American trypanosomiasis
Model textbook of chemistry for senior secondary schools, 3rd edition
Author: Okoye Ebelechukwu Ifeoma
School: WAEC, JAMB & POST UTME
Department:
Course Code: SSCE, WAEC, JAMB, POST UME
Topics: scientific method, hypothesis, chemical industries, matter, atom, molecule, ion, neutral atom, atomicity, Dalton‘s atomic theory, atomic structure, atomic number, mass number, isotopy, valency, binary compounds, chemical combination, periodic table, electronic configuration, noble gases, Relative atomic mass, Relative molecular mass, chemical bonding, Electrovalent bonding, covalent bonding, Co-ordinate covalent bonding, Metallic bonding, hydrogen bonding, Vander Waal forces, Gas Laws, Boyle‘s law, Charles law, Avogadro's law, Separation Techniques, filtration, decantation, acid, bases, salts, alkali, water, carbon, diamond graphite, Chemical Reactions, Reactants, decomposition reaction, Acid-Base Reaction, Volumetric analysis, reagents, water, air, oxygen, halogen, nitrogen, Sulphur, Oxidation Reduction Reaction, redox reaction, oxidizing agent, reducing agent, ionic theory, Electrovalent Compounds, Covalent Compounds, Electrolysis, Electrochemical cells, organic chemistry, isomerism, alkanols, Quantitative Analysis, Qualitative Analysis, Acid-base titration, Redox titrations, Petroleum, metals, fats, oil, starch, Giant Molecules, sugar, protein, nuclear chemistry, Nuclear Reactions
Introduction to Linear Regression Analysis ,5th edition
Author: Elizabeth Peck, Geoffrey Vining, Douglas Montgomery
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
Introduction to Linear Regression Analysis Solutions Manual for 5th edition
Author: Ann Ryan, Douglas Montgomery, Elizabeth Peck, Geoffrey Vining
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Linear Regression Analysis, Regression, Model Building, Data Collection, Simple Linear Regression Model, Simple Linear Regression, Least-Squares Estimation, Hypothesis Testing, Interval Estimation, Multiple Regression Models, Multiple linear regression, Hypothesis Testing, Confidence Intervals, Standardized Regression Coefficients, Multicollinearity, Residual Analysis, model adequacy checking, Variance-Stabilizing Transformations, Generalized Least Squares, Weighted Least Squares, Regression Models, subsampling, Leverage, Measures of Influence, influence, Polynomial regression Models, Piecewise Polynomial Fitting, Nonparametric Regression, Kernel Regression, Locally Weighted Regression, Orthogonal Polynomials, Indicator Variables, Multicollinearity, Multicollinearity Diagnostics, Model-Building, regression models, Linear Regression Models, Nonlinear Regression Models, Nonlinear Least Squares, Logistic Regression Models, Poisson regression, Time Series Data, Detecting Autocorrelation, Durbin-Watson Test, Time Series Regression, Robust Regression, Inverse Estimation
Author: Malcolm Payne
School: University of Ibadan
Department: Administration, Social and Management science
Course Code: SOW303
Topics: Social Work Theory, Social worker, Work, Psychodynamic Models, Crisis Intervention, Task-centred practice, Behavioural Models, Models, Systems, Ecological Models, Social Psychology, Humanist Models, Existential Models, Cognitive Models, Empowerment, Advocacy
Author: Kutub Thakur, Al-Sakib Khan Pathan
School: Air Force Institute of Technology
Department: Science and Technology
Course Code: CYB102
Topics: Cybersecurity, computers, network, computer networks, internet, internet protocols, internet infrastructure, cyberattacks, denial of service, distributed denial of service, man-in-the-middle attacks, cryptojacking, SQL injection, spamming, cyberterrorism, digital property misappropriation, zero-day exploitation, phishing, digital vandalism, cyberstalking, cyber frauds, cyber forgery, Equifax data theft, VPNfilter cyberattack, Wannacry ransom attack, peta cyberattack, US Election manipulation, power grid hacking, shadow network attack, GitHub DDos attack, under armor account hacking, computer malware, virus, trojan horse, rootkit, spyware, worms, adware, scareware, browser hijacker, computer firewall, antivirus software, anti-spyware software, anti-spam software, security updates, social engineering attack, password management, intrusion detection systems, multi-factor authentication, secure sockets layer, virtual private network, wireless network security, LAN vulnerabilities, secure online shopping, internet browsing, secure electronic transactions, web fraud detection systems, mobile security, mobile application management, cybersecurity standards, information security forum standards, payment card industry data security standard
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