Maths
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Mathematics
- body of knowledge centered on such concepts as quantity, structure, space and change and also the academic discipline that studies them. Mathematics is the science of pattern and mathematicians seek out patterns whether found in numbers, space, science, computers, imaginary abstractions, or elsewhere. Mathematicians explore such concepts, aiming to formulate new conjectures and establish their truth by rigorous deduction from appropriately chosen axioms and definitions. - Wikipedia.
- By Dr Boss at 02/18/2008 - 08:00
- Maths
brings computational exploration to the widest possible audience, open-code resource that uses dynamic computation to illuminate concepts, free player runs all demos: Browse Latest, Random Selection, FAQs, Authoring area
comprehensive treatment of the advanced methods of applied mathematics: series solutions of linear homogeneous ODE, WKB method, asymptotic expansion of integrals, boundary layer theory, small non-linear oscillations
math, fractals, logic, paradoxes, infinities, art, language, computer science, physics, music, intelligence, consciousness, unified theories, based on Douglas Hofstadter's Pulitzer Prize winning book, higher dimensions of recursive thinking.
probability & statistics with emphasis on applications, events & probability, Bayes' theorem, random variables & vectors, distributions, Bernoulli trials & Poisson point processes, full-distribution uncertainty propagation, second-moment representation, propagation, conditional analysis, random sampling, estimation, hypothesis testing, linear regression
root-finding, elementary numerical linear algebra, solving systems of linear equations, curve fitting, numerical quadrature and numerical solution to ordinary differential equations
probability theory & statistics with applications to engineering problems primarily chosen from areas of communications, control, signal processing & computer engineering: syllabus, books, exams, slides
basic statistics and measurement concepts, statistics in research situations and in everyday
“news clipping” situations: lab & other resources
presented in an experimental psychology context, frequency distributions, measures of central tendency and dispersion, normal curve, correlation, elementary probability theory, hypothesis testing, t test: Labs, Java Demos
Estimation of Average Treatment Effects Under Unconfoundedness, Linear Panel Data Models, Regression, Discontinuity Designs, Nonlinear Panel Data Models, Instrumental Variables with Treatment Effect, Heterogeneity, Control Function and Related Methods, Bayesian Inference Cluster and Stratified Sampling, Partial Identification, Difference-in-Differences Estimation, Discrete Choice Models, Missing Data, Weak Instruments and Many Instruments, Quantile Methods, Generalized Method of Moments and Empirical Likelihood
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