• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Power Point
Power Point

Stats 241.3 Term Test 4 - Mathematics and Statistics
Stats 241.3 Term Test 4 - Mathematics and Statistics

Real-Time Tweet Analysis with Maltego Carbon 3.5.3.
Real-Time Tweet Analysis with Maltego Carbon 3.5.3.

... THE ALCHEMYAPI • Runs an automated sentiment analysis tool (by AlchemyAPI, which uses both a linguistic and statistical-based analysis of language and built off of using a Web corpus of 200 billion words as a training corpus) against the Tweets captured by Maltego Carbon / Chlorine in a streaming wa ...
Operational-Log Analysis for Big Data Systems
Operational-Log Analysis for Big Data Systems

Notes Outline: Summation Notation and Mean Absolute Deviation
Notes Outline: Summation Notation and Mean Absolute Deviation

The elephant in the living room: What to do about model uncertainty
The elephant in the living room: What to do about model uncertainty

data_mining - Creative Wisdom
data_mining - Creative Wisdom

speed review
speed review

S1 Text.
S1 Text.

... suggesting reasonable variation in SES in our study population and demonstrating that the variables included in the score adequately distinguished these variations. We split the study population into quartiles based on the asset score and defined the bottom two quartiles as below-median wealth. Tabu ...
R-DataVisualization(II)
R-DataVisualization(II)

... • The ggplot2 package, created by Hadley Wickham, offers a powerful graphics language for creating elegant and complex plots. • Originally based on Leland Wilkinson's The Grammar of Graphics, ggplot2 allows you to create graphs that represent both univariate and multivariate numerical and categorica ...
Scientific Method
Scientific Method

Chpt. 3 Day 2
Chpt. 3 Day 2

... rate increases (people are simply more likely to be outside, so crime rates increase). ...
Lecture 7_Model Building with Multiple regression_Nov 3
Lecture 7_Model Building with Multiple regression_Nov 3

Posterior Predictive Distribution in Regression
Posterior Predictive Distribution in Regression

... Recall that classical hypothesis testing emphasizes the p-value: The probability (under H0 ) that a test statistic would take a value as (or more) favorable to Ha as the observed value of this test statistic. For example, given iid data x = x1 , . . . , xn from f (x|θ), where −∞ < θ < ∞, we might te ...
Document
Document

... thus our approach is especially of interest in online or large-scale problems. By over-sampling the target instance and extracting the principal direction of the data, the proposed osPCA allows us to determine the anomaly of the target instance according to the variation of the resulting dominant ei ...
Supplementary technical information General considerations The
Supplementary technical information General considerations The

... locations, are distributions termed “posterior distributions”. The posterior distributions fully represent uncertainties associated with the parameter estimates. We summarised the posterior distributions in terms of the posterior mean and 95% Bayesian credible interval (CrI), within which the true v ...
An Example Presentation
An Example Presentation

Geophysical Inversion
Geophysical Inversion

12) exam review
12) exam review

... SP 2017: Numbers on answer sheet may differ as problem order has been changed REVIEW: Statistics Brain Drain #1: The objective for this exercise is to analyze a set of data accurately within a fixed amount of time (this class) as a prelude to Exam #1. If you can do these problems, you can be success ...
Culinary Arts Curriculum Map
Culinary Arts Curriculum Map

Statistics: A Brief Overview Part I
Statistics: A Brief Overview Part I

... imply that there is no difference. It should be interpreted that there is not enough evidence to detect a statistically significant difference. ...
Archetypal Analysis for Machine Learning
Archetypal Analysis for Machine Learning

Lesson Plans 5/18
Lesson Plans 5/18

... A.1.2.3.3.1 Find probabilities for compound events (e.g., find probability of red and blue, find probability of red or blue) and represent as a fraction, decimal, or percent. ...
ppt - WordPress.com
ppt - WordPress.com

... > outputEmr <- emrlapply(myCluster, myList, mean, na.rm=T) RUNNING - 2011-01-04 15:16:57 RUNNING - 2011-01-04 15:17:27 RUNNING - 2011-01-04 15:17:58 WAITING - 2011-01-04 15:18:29 ...
Probability and statistics
Probability and statistics

... the French mathematicians Blaise Pascal(1623-1662)and Pierre Fermat( 601-1665)when they succeeded in deriving exact probabilities for certain gambling problems involving dice. In 1654, the Chevalier de Mere, a gambler,was considering the following problem: A game is played between two persons, and a ...
< 1 ... 149 150 151 152 153 154 155 156 157 ... 178 >

Data assimilation

Data assimilation is the process by which observations are incorporated into a computer model of a real system. Applications of data assimilation arise in many fields of geosciences, perhaps most importantly in weather forecasting and hydrology. The most commonly used form of data assimilation proceeds by analysis cycles. In each analysis cycle, observations of the current (and possibly past) state of a system are combined with the results from a numerical model (the forecast) to produce an analysis, which is considered as 'the best' estimate of the current state of the system. This is called the analysis step. Essentially, the analysis step tries to balance the uncertainty in the data and in the forecast. The result may be the best estimate of the physical system, but it may not the best estimate of the model's incomplete representation of that system, so some filtering may be required. The model is then advanced in time and its result becomes the forecast in the next analysis cycle. As an alternative to analysis cycles, data assimilation can proceed by some sort of nudging process, where the model equations themselves are modified to add terms that continuously push the model towards observations.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report