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Simple Loop Generator Books

Survey Methods and Sampling Theory

Author: AA Sodipo, VC Onyeze

School: University of Ibadan

Department: Science and Technology

Course Code: STA324

Topics: Survey Methods, Sampling Theory, Sample Survey, Probability sampling, non-Probability sampling, Simple Random Sampling, Random Sampling, Non-Random Sampling, Population Proportion, Confidence Limit, Systematic Sampling, Stratified Random Sampling, Ratio, Regression Estimation, Non-Sampling Error, response error

Introduction to the design and analysis of algorithms ,3rd edition

Author: Anany Levitin, Soumen Mukherjee, Arup Kumar Bhattacharjee

School: University of Ibadan

Department: Science and Technology

Course Code: CSC242

Topics: algorithm design, algorithm analysis, Algorithm Efficiency, Algorithm Efficiency analysis, Brute Force, Exhaustive Search, Decrease-and-Conquer, Divide-and-Conquer, Transform-and-Conquer, Space and Time Trade-Offs, Dynamic Programming, Greedy Technique, Iterative Improvement, Algorithm Power, Algorithmic Problem Solving, Nonrecursive Algorithms mathematical analysis, recursive Algorithms mathematical analysis, Selection Sort, Bubble Sort, Sequential Search, Brute-Force String Matching, Closest-Pair Problems, Convex-Hull Problems, depth-First Search, Breadth-First Search, Insertion Sort, Topological Sorting, Variable-Size-Decrease Algorithms, Decrease-by-a-Constant-Factor Algorithms, binary search, Mergesort, quicksort, Binary Tree Traversals, Strassen’s Matrix Multiplication, Gaussian Elimination, presorting, Balanced Search Trees, Heaps, Heapsort, Horner’s Rule, Binary Exponentiation, Problem Reduction, B-Trees, hashing, Knapsack Problem, Optimal Binary Search Trees, Warshall’s Algorithm, Floyd’s Algorithm, Prim’s Algorithm, Kruskal’s Algorithm, Dijkstra’s Algorithm, Huffman Trees, huffman Codes, Simplex Method, Maximum-Flow Problem, Stable Marriage Problem, Lower-Bound Arguments, Decision Trees, Numerical Algorithms, Backtracking, Approximation Algorithms

Elementary Statistical Quality Control ,2nd Edition

Author: John Burr

School: University of Ibadan

Department: Science and Technology

Course Code: STA341

Topics: Statistical Quality Control, Quality Control, Simple Probability, Probability Distributions, control charts, process control, process capability, Acceptance Sampling, sampling, Sampling by Variables, Linear Correlation, Regression, Reliability

A first course in statistics ,12th edition

Author: James McClave, Terry Sincich

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: statistics, statistical thinking, probability, random variables, probability distributions, inference, population, population means, simple linear regression, probabilistic models

Introduction to Business Statistics ,7th edition

Author: Ronald Weiers

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: Business Statistics, data collection, sampling methods, probability, discrete probability distribution, continous probability distributions, sampling distributions, estimation, hypothesis testing, hypothesis tests, analysis of variance, Chi-square applications, nonparametric methods, regression, simple linear regression, correlation, multiple regression, multiple correlation, model building, time series, forecasting, decision theory, total quality management

Research for Nurses Methods and Interpretation

Author: Angela Gillis, Winston Jackson

School: University of Ibadan

Department: Medical, Pharmaceutical and Health science

Course Code: NSG318

Topics: Nursing Research, Experimental design, Quasi-Experimental Design, survey designs, qualitative research, Field Study Approach, field study, New-Wave Research, Understanding Bias, bias, Descriptive Statistics, Inferential Statistics, Data Collection, Measurement, Questionnaire Development, Sampling, Sample Size, data analysis, quantitative data analysis, Simple Causal Models, Multivariate Techniques, research report, Research Critique, Research Utilization

Applied Linear Statistical Models 5th Edition Instructors Solutions Manual

Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li

School: University of Ibadan

Department: Science and Technology

Course Code: STA322

Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs

Applied Linear Statistical Models,5th edition

Author: Michael Kutner, Christopher Nachtsheim, John Neter, William Li

School: University of Ibadan

Department: Science and Technology

Course Code: STA322

Topics: Linear Statistical Models, linear regression, inference, correlation analysis, simultaneous inferences, regression analysis, simple linear regression analysis, multiple regression, quantitative predictors, qualitative predictors, regression, model, autocorrelation, time series, nonlinear regression, Neural networks, Logistic regression, Possion regression, Generalized linear models, ANOVA, Two-factor analysis of variance, two-factor studies, randomized complete block designs, analysis of covariance, multifactor studies, Nested designs, subsampling, partially nested designs

Statistical Inference 3

Author: OI Shittu

School: University of Ibadan

Department: Education

Course Code: SPE321

Topics: Statistical Inference, Point Estimation Techniques, Least Squares Method, Simple Linear Model, Least Squares Estimator, Maximum Likelihood, Cramer–Rao lower bound, Sufficiency, Fisher-Neyman Criterion, Test of Hypothesis

Sampling ,3rd edition

Author: Steven Thompson

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: Sampling, Sampling Units, Sampling errors, Nonsampling Errors, Simple Random Sampling, Confidence Intervals, Sample Size, Estimating Proportions, Estimating Ratios, Estimating Subpopulation Means, Unequal Probability Sampling, Horvitz-Thompson Estimator, Hansen–Hurwitz Estimator, Auxiliary Data, Ratio Estimation, Ratio Estimator, Small Population Illustrating Bias, Regression Estimation, Linear Regression Estimator, regression model, Multiple Regression Models, Regression Models, Stratified Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Sampling, Multistage Designs, Double Sampling, Two-Phase Sampling, Network Sampling, Link-Tracing Designs, Detectability, Capture–Recapture Sampling, Line-Intercept Sampling, spatial sampling, Spatial Prediction, Kriging, Spatial Covariance Function, Spatial Designs, Adaptive Sampling Designs, Adaptive Sampling, Adaptive Cluster Sampling, Stratified Adaptive Cluster Sampling

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