Analysis of algorithms | Algorithms | Randomized algorithms
Reservoir sampling is a family of randomized algorithms for choosing a simple random sample, without replacement, of k items from a population of unknown size n in a single pass over the items. The size of the population n is not known to the algorithm and is typically too large for all n items to fit into main memory. The population is revealed to the algorithm over time, and the algorithm cannot look back at previous items. At any point, the current state of the algorithm must permit extraction of a simple random sample without replacement of size k over the part of the population seen so far. (Wikipedia).
What is quota sampling? Advantages and disadvantages. General steps and an example of how to find a quote sample. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.
From playlist Sampling
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
Brief Introduction to Snowball Sampling. Advantages and disadvantages. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics
From playlist Sampling
Frequency Domain Interpretation of Sampling
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the effect of sampling a continuous-time signal in the frequency domain through use of the Fourier transform.
From playlist Sampling and Reconstruction of Signals
Sampling Frame Definition, Example
What is a sampling frame? Examples of different types of sampling frames. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics
From playlist Sampling
What is purposive (deliberate) sampling? Types of purposive sampling, advantages and disadvantages. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sam
From playlist Sampling
What is systematic sampling? Advantages and disadvantages. How to perform systematic sampling and repeated systematic sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.c
From playlist Sampling
What is "Probability sampling?" A brief overview. Four different types, their advantages and disadvantages: cluster, SRS (Simple Random Sampling), Systematic and Stratified sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with
From playlist Sampling
Statistics Lesson #1: Sampling
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). It includes defining and looking at examples of five sampling methods: simple random sampling, convenience sampling, systematic sampling, stratified sampling, cluster sampling. We also l
From playlist Statistics
9e Data Analytics Reboot: Spatial Debiasing
Lecture on spatial debiasing with secondary data to mitigate sampling bias. This method is applied to infer missing parts of feature distributions.
From playlist Data Analytics and Geostatistics
Carnot Heat Engines, Efficiency, Refrigerators, Pumps, Entropy, Thermodynamics - Second Law, Physics
This physics tutorial video shows you how to solve problems associated with heat engines, carnot engines, efficiency, work, heat, refrigerators, heat pumps and entropy. It discusses the concepts of the first and second law of thermodynamics. This video contains plenty of examples and pra
From playlist New Physics Video Playlist
Reservoir Computing with a Pendulum by Manish Shrimali
DISCUSSION MEETING NEUROSCIENCE, DATA SCIENCE AND DYNAMICS (ONLINE) ORGANIZERS: Amit Apte (IISER-Pune, India), Neelima Gupte (IIT-Madras, India) and Ramakrishna Ramaswamy (IIT-Delhi, India) DATE : 07 February 2022 to 10 February 2022 VENUE: Online This discussion meeting on Neuroscien
From playlist Neuroscience, Data Science and Dynamics (ONLINE)
Entropy Change For Melting Ice, Heating Water, Mixtures & Carnot Cycle of Heat Engines - Physics
This physics video tutorial explains how to calculate the entropy change of melting ice at a constant temperature of 0C using the latent heat of fusion of ice. It explains how to calculate the entropy change of heating water from 0C to 100C using two different formulas. The entropy chang
From playlist New Physics Video Playlist
01b Spatial Data Analytics: Subsurface Data
Lecture of the data available for subsurface modeling.
From playlist Spatial Data Analytics and Modeling
1a Data Analytics Reboot: Statistics Concepts
Lecture on basic statistical / data analytics concepts with a bias toward spatial and subsurface applications. Data Analytics and Geostatistics is an undergraduate course that I teach fall and spring semesters at The University of Texas at Austin. We build up fundamental spatial, subsurfa
From playlist Data Analytics and Geostatistics
9c Data Analytics Reboot: Spatial Bias
Lecture on spatial bias and introduction to solutions with data declustering and debiasing.
From playlist Data Analytics and Geostatistics
02d Spatial Data Analytics: Example Project Update
Example project update oral presentation. I recorded this to provide my students with an example update presentation on spatial data analytics with the provided spatial data set.
From playlist Spatial Data Analytics and Modeling
Stanford Webinar - Unconventional Reservoir Geomechanics, Mark Zoback and Arjun Hari Kohli
Enormous quantities of natural gas and oil have been produced from unconventional reservoirs in just the past decade. Production from these reservoirs has literally revolutionized the oil and gas industry in the U.S., in Canada and is on the cusp of having a similar impact in China, Argent
From playlist Environment & Energy
Determination of Topological Edge Quantum Numbers of Fractional Quantum... by Saurabh Srivastava
DISCUSSION MEETING APS SATELLITE MEETING AT ICTS ORGANIZERS Ranjini Bandyopadhyay (RRI, India), Subhro Bhattacharjee (ICTS-TIFR, India), Arindam Ghosh (IISc, India), Shobhana Narasimhan (JNCASR, India) and Sumantra Sarkar (IISc, India) DATE & TIME: 15 March 2022 to 18 March 2022 VENUE:
From playlist APS Satellite Meeting at ICTS-2022
What is convenience sampling? Advantages and disadvantages of grab sampling. How to analyze data from convenience sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creato
From playlist Sampling