Variables Books
Author: Jarkko Isotalo
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: STA117
Topics: Parameters, Statistics, Statistical data analysis, Variables, organization of the data, tables, graphs, Sample Distributions, Population Distributions
Schaum's Outline of Probability and Statistics, Fourth Edition
Author: John Schiller, Alu Srinivasan, Murray Spiegel
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: STA117
Topics: Probability, statistics, Random Variables, Probability Distributions, Mathematical Expectation, Special Probability Distributions, Sampling Theory, Estimation Theory, Curve Fitting, Regression, Correlation, Analysis of Variance, Nonparametric Tests, Bayesian Methods
Concepts of Programming Languages, 10th Edition
Author: Robert Sebesta
School: Edo University
Department: Science and Technology
Course Code: CSC413
Topics: Programming Languages, programming environments, Pseudocodes, functional programming, computerizing business records, time sharing, dynamic languages, object-oriented programming, scripting languages, programming hybrid languages, lexical analysis, syntax analysis, parsing problem, recursive descent parsing, variables, datatypes, array types, associative arrays, arithmetic expressions, subprograms, abstract data types, data abstraction, concurrency, exception handling, event handling, functional programming languages, logic programming languages
Principles of concurrent and distributed programming, 2nd edition
Author: Ben-Ari
School: Edo University
Department: Science and Technology
Course Code: CSC413
Topics: concurrent programming, distributed programming, concurrency, concurrent programming abstractions, machine-code instructions, critical section problem, concurrent programs verification, bakery algorithm, fast algorithms, semaphores, monitors, condition variables, protected objects, channels, parallel matrix multiplication, remote procedure calls, Linda model, distributed algorithms, distributed systems, model distributed mutual exclusion, Dijkstra-Scholten algorithm, credit-recovery algorithms, consensus, flooding algorithm, real-time systems, synchronous systems, Pseudocode notation
Introduction to Mathematical Statistics ,8th edition
Author: Robert Hogg, Joseph McKean, Allen Craig
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: STS213
Topics: Statistics, Probability, Distributions, Multivariate Distributions, statistical inference, consistency, limiting distributions, maximum likelihood methods, sufficiency, optimal test of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, conditional probability, random variables, correlation coefficient, binomial distribution, Poisson distribution, Normal distribution, Multivariate normal distribution, sampling, confidence intervals, hypothesis testing, central limit theorem, maximum likelihood estimation, sequential probability ratio test, likelihood ratio test, sample median, signed-rank Wilcoxon, Mann–Whitney–Wilcoxon Procedure, Simple Linear Model, Bayesian Procedures
Introduction to Mathematical Statistics ,7th edition Instructor’s Solutions manual
Author: Allen Craig, Robert Hogg, Joseph McKean
School: Federal University of Agriculture, Abeokuta
Department: Science and Technology
Course Code: STS213
Topics: Statistics, Probability, Distributions, Multivariate Distributions, statistical inference, consistency, limiting distributions, maximum likelihood methods, sufficiency, optimal test of hypotheses, nonparametric statistics, robust statistics, Bayesian statistics, conditional probability, random variables, correlation coefficient, binomial distribution, Poisson distribution, Normal distribution, Multivariate normal distribution, sampling, confidence intervals, hypothesis testing, central limit theorem, maximum likelihood estimation, sequential probability ratio test, likelihood ratio test, sample median, signed-rank Wilcoxon, Mann–Whitney–Wilcoxon Procedure, Simple Linear Model, Bayesian Procedures
Schaum's outline of advanced mathematics for engineers and scientists
Author: Murray Spiegel
School: Federal University of Agriculture, Abeokuta
Department: Engineering
Course Code: MCE341
Topics: real numbers, rule of algebra, limits, continuity, derivatives, differentiation formula, Taylor series, Partial derivatives, maxima, minima, Lagrange multiplier, complex numbers, ordinary differential equations, linear differential equations, operator notation, linear operators, linear dependence, Wronskians, Laplace transforms, vector analysis, vector algebra, Jacobians, Orthogonal curvilinear coordinates, Fourier series, Dirichlet conditions, orthogonal functions, Fourier integrals, Fourier transforms, Gamma function, beta function, error function, exponential integral, sine integral, cosine integral, Fresnel sine Integral, Fresnel cosine Integral, Bessel function, Legendre functions, Legendre differential equation, Hermite polynomials, Laguerre polynomial, sturm-Liouville systems, heat conduction equation, vibrating string equation, complex variables, conformal mapping, Cauchy-Riemann equations, Cauchy's theorem, Laurent's series, conformal mapping, complex inversion formula, matrices, Cramer's rule, determinants, Euler's equation, Hamilton's principle
Introduction to Biostatistics ,2nd Edition
Author: Robert Sokal, James Rohlf
School: Federal University of Technology, Minna
Department: Science and Technology
Course Code: BIO324
Topics: Biostatistics, Data, accuracy, derived variables, frequency distribution, descriptive statistics, arithemetic mean, median, mode, range, standard deviation, sample statistics, binomial distribution, Poisson distribution, Normal probability distribution, normal distribution, estimation, hypothesis testing, confidence limits, chi-square distribution, Variance, regression, correlation
Author: Stephen Davis
School: Federal University, Oye-Ekiti
Department: Engineering
Course Code: CPE101
Topics: C++, variables, mathematical operations, Controlling Program Flow, C++ Pointers, C++ Templates
Author: Juan Soulié
School: Federal University, Oye-Ekiti
Department: Engineering
Course Code: CPE101
Topics: C++, variables, data types, consonants, operators, Control Structures, data types, arrays, Character Sequences, Dynamic Memory, pointers, data structures, Object Oriented Programming, Polymorphism, Namespaces, C++ Standard Library
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