Practical Business Forecasting by Michael Evans PDF free download

Michael Evans Practical Business Forecasting PDF, was published in 2003 and uploaded for 300-level Administration, Social and Management science students of Modibbo Adama University of Technology (MAUTECH), offering MM309 course. This ebook can be downloaded for FREE online on this page.

Practical Business Forecasting ebook can be used to learn Business Forecasting, Linear Regression Model, Linear Model, Single-equation Regression Models, Distributed Lags, Dummy Variables, Nonlinear Regressions, Equation Stability, Equation Robustness, Smoothing Data, Time-series Decomposition Model, Linear Trends, Nonlinear Trends, Univariate Time-series Modeling, ARMA Model, Sales Forecasting, Long-term Forecasting, Macroeconomic Forecasting, Macroeconomic Model.

Technical Details
Updated at:
Size: 3.49 MB
Number of points needed for download: 23
Number of downloads: 7

Books related to Practical Business Forecasting

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

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

Distribution and Sales Management

Author: CI Okeke, Mande Samaila, Eunice Adegbola, Bilkisu Katagum

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: MKT306

Topics: Distribution, Sales Management, Personal Selling, Sales Force Management, Sales Management, salesmen, Sales Force Organization, Sales Personnel, Sales Techniques, Motivating Sales Personnel, Sales Meetings, Sales Contests, Sales Effort, Sales Budget, Sales Quotas, Sales Analysis, sales Control, sales

Management of a Sales Force ,12th edition

Author: Rosann Spiro, William Stanton, Gregory Rich

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: MKT306

Topics: Sales Force management, Strategic Sales Force Management, Personal Selling Process, Sales Force Organization, Recruiting Salespeople, Sales Training Program, Sales Force Operations, Sales Force Compensation, Sales Force Quotas, Sales Force Quotas Expenses, Forecasting Sales, Developing Budgets, Sales Territories, sales planning, Sales Volume, Sales Volume analysis, Marketing Cost, Profitability Analysis, Salesperson’s Performance, Sales Managers

Database Systems, 6th edition

Author: Thomas Connolly, Carolyn Begg

School: Edo University

Department: Science and Technology

Course Code: CMP222, CMP214

Topics: Database Systems, database environment, database languages, data definition language, data models conceptual modeling, database architectures, Multi-user DBMS Architectures, teleprocessing, Distributed DBMSs, data warehousing, cloud computing, Oracle Architecture, relational models, relational calculus, SQL, writing SQL commands, data manipulation, advanced SQL, object-relational DBMs, Database System Development Lifecycle, database analysis, database design, database planning, Entity–Relationship Modeling, Enhanced Entity–Relationship Modeling, normalization, Data Redundancy, Advanced Normalization, database security, data administration, database administration, concurrency control, database recovery, query processing, query optimization, distributed DBMs, Distributed Transaction Management, Distributed Concurrency Control, Distributed Deadlock Management, Distributed Database Recovery, data replication, data Replication Architecture, data Replication Schemes, object oriented DBMs, Scripting Languages, web, Common Gateway Interface, HTTP cookies, Microsoft’s Web Platform, JAVA, Oracle Internet Platform, Semi structured Data, XML, XML schema, XML Query Languages, Data Warehouse Architecture, Data Warehousing Tools, Data Warehousing Technologies, Data Warehousing Using Oracle, data mart, Data Warehousing Design, Online Analytical Processing, data mining, oracle data mining

Business Forecasting

Author: LAWAL Kamaldeen

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ENT330

Topics: Business Forecasting, business forecasts, Forecasting-External Factors, Forecasting Demand for New Products, Forecasting Demand, Good Forecasting Method, business forecasting limitations, forecasting system, Market Demand Forecasting, Assumptions of Forecasting, Quantitative Forecasting Methods, Qualitative Forecasting Approaches, Methods of Forecasting, Time Series Forecasting Method, Moving Average Method, Simple Moving Average Method, Exponential Smoothing, Weighted Moving Average, trend lines, Least-squares method, Monitoring Forecast, Controlling Forecast, Profit Forecasting, Material Forecasting

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

Business Forecasting

Author: Ibrahim Danjuma

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM309

Topics: business forecast, business forecasting, Sampling Technique, Survey Methodology, Time Series Analysis, Statistical Inference, Input-Output Analysis, game theory, Financial Forecasting, Market Forecasting

Applied Econometrics ,2nd edition

Author: Dimitrios Asteriou, Stephen Hall

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO355

Topics: Applied Econometrics, Econometrics, Economic Data, Basic Data Handling, Simple Regression, Classical Linear Regression Model, Multiple Regression, Multicollinearity, Heteroskedasticity, Autocorrelation, Misspecification, Wrong Regressors, Measurement Errors, Wrong Functional Forms, Dummy Variables, Dynamic Econometric Models, Simultaneous Equation Models, Limited Dependent Variable Regression Models, Time Series Econometrics, ARIMA Models, Box–Jenkins Methodology, ARCH model, GARCH model, Vector Autoregressive Models, Causality Tests, Non-Stationarity Tests, Unit-Root Tests, Cointegration, Error-Correction Models, Solving Models, Panel Data Econometrics, Panel Data Models, Dynamic Heterogeneous Panels, Non-Stationary Panels, Econometric Software

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

Schaums outline of theory and problems of statistics and econometrics ,2nd edition

Author: Derrick Reagle, Dominick Salvatore

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO450

Topics: statistics, econometrics, Descriptive Statistics, Frequency Distributions, Measures of Central Tendency, Measures of Dispersion, Probability, Probability Distributions, Discrete Probability Distributions, Binomial Distribution, Poisson Distribution, Continuous Probability Distributions, The Normal Distribution, Statistical Inference, Estimation, Sampling, Sampling Distribution, Statistical Inference, Testing Hypothesis, Analysis of Variance, Chi-Square Test, Nonparametric Testing, Simple Regression Analysis, Two-Variable Linear Model, Ordinary Least-Squares Method, Ordinary Least-Squares Estimators, Multiple Regression Analysis, Three-Variable Linear Model, Coefficient of Multiple Determination, Partial-Correlation Coefficients, Matrix Notation, Functional Form, Regression Analysis, Dummy Variables, Distributed Lag Models, Forecasting, Binary Choice Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Simultaneous-Equations Methods, Time-Series Methods, ARMA

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

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

Sales Force Management ,12th Edition

Author: Mark Johnston, Greg Marshall

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: MKT306

Topics: Sales Force Management, selling, buying, sales effort, sales Management, Salesperson Performance, sales program, Salesperson, Sales Force Recruitment, Sales Force Selection, Sales Training, Salesperson Compensation, Salesperson Incentives, Cost Analysis, Salesperson Performance

Econometric Analysis ,8th edition

Author: William Greene

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO454

Topics: Linear Regression Model, Econometrics, Least Squares Regression, Hypothesis Tests, Model Selection, Functional Form, Difference in Differences, Structural Change, Nonlinear Regression ­Models, Semiparametric Regression ­Models, Nonparametric Regression ­Models, Endogeneity, Instrumental Variable Estimation, Generalized Regression Model, Heteroscedasticity, Regression Equations, Estimation Frameworks, Estimation Methodology, Minimum Distance Estimation, Generalized Method of ­Moments, Maximum Likelihood Estimation, Simulation-Based Estimation, Inference, Random Parameter Models, Bayesian Estimation, Cross Sections, Panel Data, Microeconometrics, Binary Outcomes, Discrete Choices, Multinomial Choices, Event Counts, Limited Dependent Variables—Truncation, Censoring, Sample ­Selection, Time Series, Macroeconometrics, Serial Correlation, Nonstationary Data

Elements of econometrics

Author: Dougherty

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO356

Topics: Elements of econometrics, Simple regression analysis, econometrics, regression analysis, regression coefficients, hypothesis testing, Multiple regression analysis, Transformations of variables, Dummy variables, regression variables, Heteroscedasticity, Stochastic regressors, measurement errors, Simultaneous equations estimation, Binary choice, limited dependent variable models, maximum likelihood estimation, time series data, nonstationary time series, panel data, Regression analysis, linear algebra primer

A guide to modern econometrics, 5th edition

Author: Marno Verbeek

School: Edo University

Department: Administration, Social and Management science

Course Code: ECO313

Topics: Econometrics, linear regression, linear regression mode, hypothesis testing, Heteroskedasticity, Autocorrelation, OLS estimator, Endogenous Regressors, Instrumental Variables, instrumental variables estimator, maximum likelihood estimation, quasi-maximum likelihood, binary choice models, Tobit models, sample selection bias, univariate time series models, multivariate time series models, panel data modelling, static linear model, vector, matrix

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

Introductory Econometrics ,7th edition

Author: Jeffrey Wooldridge

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC312

Topics: Regression Analysis, Simple Regression Model, Multiple Regression Analysis, OLS Asymptotics, Heteroskedasticity, Time Series, Serial Correlation, Time Series Regressions, Simple Panel Data Methods, Advanced Panel Data Methods, Instrumental Variables Estimation, Two Stage Least Squares, Simultaneous Equations Models, Limited Dependent Variable Models, Sample Selection Corrections

Past Questions related to Practical Business Forecasting

Essentials of Strategic Management The Quest for Competitive Advantage test bank by John E Gamble,Margaret Peteraf,Arthur Thompson

Year: 2015

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: MM403, MM401

Topics: Strategy, Business Models, Competitive Advantage, Charting a Company's Direction, Company External Environment, Company Resources, Company Capabilities, Company Competitiveness, Five Generic Competitive Strategies, Competitive Strategy, company Competitive position, Corporate Strategy, Diversification, Multibusiness Company, ethics, Corporate Social Responsibility, Environmental Sustainability, Strategy, Superior Strategy Execution

Statistics for accounting and finance 2015, 2017-2019

Year: 2019

School: University of Ilorin

Department: Administration, Social and Management science

Course Code: ACC233, FIN233

Topics: correlation, least square regression, time series model, regression model, statistical analysis, forecasting, hypothesis, price index, quantity index, sampling error, population, sampling, product moment correlation coefficient, finite population, estimators, point estimates, error

Business Statistics

Year: 2021

School: Air Force Institute of Technology

Department: Administration, Social and Management science

Course Code: BUS204

Topics: Business statistics, Probability sampling, non-probability sampling, chi square test, probability distribution, regression, time series analysis, trend analysis

Elements of business economics 1

Year: 2016

School: University of Nigeria, Nsukka

Department: Administration, Social and Management science

Course Code: MAN101

Topics: business economics, economics, utility, capital formation

Business communication skills

Year: 2017

School: Federal University of Agriculture, Abeokuta

Department: Administration, Social and Management science

Course Code: ETS201

Topics: Business communication skills, communication, speaking, expression

Introduction to business

Year: 2020

School: Nnamdi Azikiwe University

Department: Administration, Social and Management science

Course Code: BUS101

Topics: Business, partneship, management, production system, batch production, production, product layout, process layout, marketing, long term finance, credit, grants

Business ethics

Year: 2020

School: Nnamdi Azikiwe University

Department: Administration, Social and Management science

Course Code: BUS451

Topics: Business ethics, reasoning, intergrity, ethics, utilitarian principle, NAFDAC, NDLEA, SON

Business and corporate finance 2015,2017,2018&2019

Year: 2019

School: University of Ilorin

Department: Administration, Social and Management science

Course Code: FIN201

Topics: business finance, corporate finance, Nigerian economy, Nigerian capital system, risk, finance source

Introduction to Business

Year: 2021

School: Air Force Institute of Technology

Department: Administration, Social and Management science

Course Code: BUS102

Topics: Communication, Leadership style, Power, Authority, Flow of communication, Business enterprise

Control system design technology

Year: 2020

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: EEE501

Topics: Control system design technology, PID control equation, feedback control, PID algorithm, digital control design, sampling, discrete time response, zero-order hold model, Z transform, describing function, nonlinear difference equation, linear oscillation, absolute stability, linear systems, non-linear systems, nonlinear system analysis

Multimedia systems and technologies

Year: 2020

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: ECE409

Topics: Multimedia systems, multimedia technology technologies, multimedia, HCI design, hypertext, hypermedia, output device, communication devices, storage device, multimedia conferencing, data compressor, distributed computing, distributed multimedia system

COMPUTER MODELING SIMULATION AND FORECASTING

Year: 2018

School: Federal University of Technology, Owerri

Department: Science and Technology

Course Code: CSC510

Topics: model development, mathematical model, markov model, exponential model, cubic model, inverse model, CPU, linear programming, allocation problem

WATER QUALITY MANAGEMENT

Year: 2019

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: WRE505

Topics: water quality, mitigation measures, control measures, DDT, aerobic decomposition, anaerobic decomposition

Electromagnetic field and waves

Year: 2020

School: Federal University of Technology, Owerri

Department: Engineering

Course Code: EEE305

Topics: Electromagnetic field, electromagnetic waves, Cartesian coordinate variables, cylindrical coordinates variables, coulomb law, Gauss law, flux density, electric field intensity