Multiple Cropping Books
Research methodology methods and techniques, 2nd revised edition
Author: CR Kothari
School: Federal University of Technology, Owerri
Department: Engineering
Course Code: ABE401
Topics: Research methodology, research, research methods, research process, research problem, research design, sampling design, census, sample survey, measurement, scaling techniques, scaling, scaling construction techniques, data collection, observation method, case study method, measures of central tendency, measures of dispersion, measures of asymmetry, skewness, simple regression, regression analysis, multiple correlation, regression, partial correlation, sampling, sampling distributions, central limit theorem, sampling theorem, Sandler's A-test, estimation, sample size, hypothesis, hypothesis testing, Chi-square test, Yates correction, ANOVA, analysis of variance and co-variance, ANOVA technique, analysis of Co-variance, ANOCOVA, nonparametric test, distribution free test
Probability and Statistics, The Science of Uncertainty, 2nd Edition
Author: Michael Evans, Jeffrey Rosenthal
School: Federal University of Technology, Owerri
Department: Science and Technology
Course Code: STA301
Topics: probability models, Conditional Probability, Venn diagram, Random Variables, Discrete Distributions, Continuous Distributions, Cumulative Distribution Functions, Joint Distributions, Simulating Probability Distributions, expectation, Inequalities, Jensen’s Inequality, Sampling Distributions, Limits, Central Limit Theorem, Monte Carlo Approximations, Normal Distribution Theory, Chi-Squared Distribution, Statistical Inference, statistical model, Data Collection, Finite Populations, Simple Random Sampling, Histograms, Survey Sampling, Descriptive Statistics, Plotting Data, Likelihood Inference, Maximum Likelihood Estimation, Distribution-Free Methods, Bayesian Inference, Bayesian Computations, Optimal Inferences, Optimal Unbiased Estimation, Optimal Hypothesis Testing, quantitative response, Simple Linear Regression Model, Bayesian Simple Linear Model, Multiple Linear Regression Model, Markov Chains, Gambler’s Ruin Problem, Markov Chain Monte Carlo, Martingales, Brownian Motion, Poisson Processes
Principles of Chemical Engineering Processes Material and Energy Balances
Author: Nayef Ghasem, Redhouane Henda
School: Federal University of Technology, Owerri
Department: Engineering
Course Code: CHE202
Topics: Chemical Engineering Processes, Material Balance, Energy Balance, temperature measurement, temperature conversion, dimensional homogeneity, dimensionless quantities, process flow sheet, process unit, process streams, mass flow rates, volumetric rates, moles, molecular weight, stream composition, mass fraction, mole fraction, concentration, pressure measurement, pressure-sensing devices, process units, degrees of freedom analysis, process flow diagram, multiunit process flow diagram, mass balance, Stoichiometric Equation, Stoichiometric Coefficients, Stoichiometric Ratio, Limiting Reactant, Excess Reactants, Combustion Reactions, Chemical Equilibrium, Multiple-Unit Process Flowcharts, Single-Phase Systems, Multiphase Systems, Ideal Gas Equation of State, liquid density, solid density, gas density, Real Gas Relationships, Compressibility Factor, Virial Equation of State, van der Waals Equation of State, Soave–Redlich–Kwong Equation of State, Kay’s Mixing Rules, phase diagram, Vapor–Liquid Equilibrium Curve, Vapor Pressure Estimation, Clapeyron Equation, Clausius–Clapeyron Equation, Cox Chart, Antoine Equation, Partial Pressure, Dalton’s Law of Partial Pressures, Gibbs’ Phase Rule, Bubble Point, Dew Point, Critical Point, Kinetic Energy, Potential Energy, energy balance, steam turbine, heaters, coolers, compressors, Mechanical Energy Balance, Enthalpy Calculations, Constant Heat Capacity, Psychrometric Chart, Heat of Reaction, Heats of Formation, Heat of Combustion, Heat of Reaction Method, Unsteady-State Material Balance, Unsteady-State Energy Balance
An Introduction to English Grammar ,Third edition
Author: Gerald Nelson, Sidney Greenbaum
School: Federal University, Oye-Ekiti
Department: Arts and Humanities
Course Code: ELS103
Topics: Grammar, verb, object, sentence, subject, transitive verb, direct object, linking verb, subject complement, intransitive verb, adverbials, adverbial complement, indirect object, Word classes, Noun, noun suffix, noun classes, gender, dependent genitive, independent genitive, verb suffix, regular verb, irregular verb, auxilliaries, passive auxiliary, progressive auxilliary, modal auxiliaries, modals, adjective, perfect auxiliary, adjective suffix, adjective class, adverb, pronoum, personal pronoun, possessive pronoun, reflexive pronoun, demonstrative pronoun, reciprocal pronoun, interrogative pronoun, relative pronoun, determiners, conjuction, preposition, phrase, clause, noun phrase, tense, aspect, mood, multi-word verb, adjective phrase, prepositional phrase, sentence, declarative, interrogative, imperative, exclamative, speech act, active sentence, passive sentence, positive sentence, negative sentence, compound sentence, subject-verb agreement, multiple negation, dangling modifiers, emphasis, Parenthetic expressions, cleft sentences, abstract noun, parallelism, repeated sounds, unscripted monologue, punctuation, punctuation rules, direct speech, snetence fragment, fragmentary sentence, spelling, spelling variants
Qualitative techniques in accounting
Author: Mohammed Abba
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: AC301
Topics: Basic Linear Programming Techniques, linear programming, transportation problem, transportation model, quantitative model, material planning, material control, inventory control, economic order quantity, inventory control levels, queuing theory, queuing system, Single-Channel Poisson Arrivals, Exponential Service Rate, multiple-Channel Poisson Arrivals, game theory, decision theory
Analysis of Economic Data ,Fourth edition
Author: Gary Koop
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM306
Topics: Data Handling, Correlation, Regression, Multiple Regression, Qualitative Choice Models, Distributed Lag Models, Univariate Time Series Analysis, Autocorrelation Function, Time Series Regression, Financial Volatility, Autoregressive Conditional Heteroskedasticity, Granger Causality, Vector Autoregressions, Limitations, Extensions
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
Quantitative techniques in business, management and finance a case-study approach
Author: Umeshkumar Dubey, DP Kothari, GK Awari
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM307
Topics: Quantitative Decision Making, Quantitative Techniques, data collection, statistical methods, Quantitative Methods.Arranging Data, published data, unplublished data, primary data, Data Presentation Devices, Frequency Distribution, graphs, histogram, frequency polygon, frequency curve, Cumulative Frequency Distribution, Skewness, Kurtosis, Measures of Central Tendency, Arithmetic Mean, median, quantile, mode, variation, range, mean deviation, average deviation, standard deviation, variance, Bienayme–Chebyshev Rule, Probability Theory, Probability, Probability Rules, Conditional Probability, Set Theory, Venn Diagram, Statistical Decision Theory, Decision Theory, determinants, Business Decision Theory, Stochastic Business Situation, Linear Programming, Linear Programming Problem, Sampling Theory, Sampling Methods, sampling, Simple Random Sampling, Stratified Random Sampling, Systematic Random Sampling, Quasi-Random Sampling, Interval Sampling, Cluster Sampling, Multi-Stage Random Sampling, area sampling, quota sampling, error, Hypothesis Testing, Probability Distributions, Binomial Distribution, Poisson Distribution, Normal Probability Distribution, t-Test, Chi-Square Test, Business Forecasting, Correlation Analysis.Correlation, Regression Analysis, Regression, Least-Squares Method, Standard Error of Estimate, Multiple Regressions, Time Series Analysis, Seasonal Variations, Cyclical Variations, business cycle, Irregular Variations, Random Movements, Unpredictable Movements, Erratic Variations, Accidental Variations, Research Methodology, Research Approach
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
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