Not exact matches
In author and seasoned commodity trader Carley Garner's quest to guide traders through the process of commodity market
analysis, strategy development, and risk management, «Higher
Probability Commodity Trading» discusses several alternative market concepts and unconventional views such
as option selling tactics, hedging futures positions with options, and combining the practice of fundamental, technical, seasonal, and sentiment
analysis to gauge market price changes.
Accordingly, since July 31, 2009 our valuation
analysis has been conducted under a
probability - weighted expected return method
as prescribed by the AICPA Practice Aid.
On July 31, 2009, the Company commenced performing its valuation
analysis under a
probability - weighted expected return method
as prescribed by the AICPA Practice Aid.
By using a statistical technique known
as Bayesian
analysis — which combines
probability with archaeological information to improve precision for groups of radiocarbon dates — the study authors were able to produce a high - precision chronology model for early domestic horse use in Mongolia.
To get a sense for how this
probability, or risk of such a storm, will change in the future, he performed the same
analysis, this time embedding the hurricane model within six global climate models, and running each model from the years 2081 to 2100, under a future scenario in which the world's climate changes
as a result of unmitigated growth of greenhouse gas emissions.
This field of study lies at the intersection of many mathematical fields, such
as probability theory,
analysis, combinatorics, and exactly solvable systems.
Each bi-annual report, at over 120 pages, covers key supply and demand developments
as well
as the overall supply and demand situation, reviews spot and long - term contract activity over the past three months, provides a near - term technical
analysis along with detailed spot market indicators, projects prices under different market scenarios with associated
probabilities, and examines key developments in the market through a topical essay.
Posterior
probability distributions for the difference in DNA abundance between air swab negative controls and placenta (blue), saliva (red), vaginal swabs (orange), and other negative controls (green)
as estimated by quantitative PCR
analysis of 16S rRNA gene abundance for PSP (top) and MO BIO extractions (bottom).
Model based inferences from a separate
analysis using adult snow leopards» data, grouped
as male and female on program Mark indicated that the detection
probability did not vary between sexes.
Therefore if more people with a personal history of diabetes (
as is reported) or if the above
analysis on the
probability of family history of diabetes holds true, we really shouldn't be all the surprised that those people are more likely to subsequently die of diabetes.
Unfortunately, the
analyses in this paper are not capable of identifying whether the differences in classifications are due to the type of student who attends each sector, or if there is something about charter schooling itself that reduces the
probability that a student is newly classified
as having a disability.
The instructional units are grouped by elementary, middle school, and high school level, and each grade cluster is categorized into topics such
as: arithmetic, data
analysis, fractions, geometry, and
probability / patterns for elementary; pre-algebra, graphing / statistics, geometry, number theory, and interdisciplinary for middle school; and algebra, geometry, trigonometry, pre-calculus, Internet, science, and modeling for high school.
INCLUDES: 36 Student Activity Books (1 copy of each of the six titles per grade level, 32 - pages each) 4 Answer Cases 1 Teacher Guide FEATURES: Flexibility for task centers, independent or partner work, or one - on - one tutoring / remediation Clearly stated objective for each activity that allows you to differentiate Focus on foundational skills and concepts Engaging puzzle format for a fun challenge Immediate feedback for self - checking Titles: Grade 1: Number and Operations: Counting and Place Value Addition and Subtraction: Properties and Situations Addition and Subtraction: Strategies and Equations Addition and Subtraction: Beyond 20 Measurement and Data: Length, Time, and
Analysis Geometry: Shapes and Attributes Grade 2: Addition and Subtraction: To 20 and Beyond Foundations of Multiplication: Equal Groups and Arrays Addition and Subtraction: Properties and Place Value Measurement and Data: Length, Time, and
Analysis Measurement and Data: Time, Money, and
Analysis Geometry: Shapes and Attributes Grade 3: Number and Operations: Multiply and Divide Multiply and Divide: Problem Solving Fractions: Fractions
as Numbers Measurement and Data: Use and Interpret Data Geometric Measurement: Perimeter and Area Geometry: Shapes and Attributes Grade 4: Number and Operations: Whole Numbers Number and Operations Multi-Digit and Fractions Fractions: Equivalence and Ordering Fractions: Operations Measurement and Data: Convert and Solve Problems Geometry: Angles and Plane Figures Grade 5: Operations and Algebraic Thinking: Expressions and Patterns Number and Operations: Whole Numbers and Decimals Fractions: Add and Subtract Measurement and Data: Convert and Interpret Geometric Measurement: Volume Geometry: Graphing and 2 - D Figures Grade 6: Ratio and Proportions: Ratios and Problem Solving The Number System: Rational Numbers The Number System: Factors and Multiples Expressions and Equations: Write, Solve, and Analyze Geometry: Problem Solving Statistics and
Probability: Variability and Displays
While every state and school district differs slightly, below you will find useful detail surrounding some of the Math concepts children will likely be covering in 3rd Grade Math such
as: Addition and Subtraction Math Facts, Adding and Subtracting Larger Numbers, Multiplication and Division Math Facts, Skip Counting and Using a Hundreds Board, Money, Place Value, Telling Time, Measurement, Shapes and Solids, Lines and Angles, Symmetry, Fractions, Data Management and
Analysis, Estimating, Area and Perimeter, Capacity and Weight, Decimals, Patterns, Circumference and Diameter, Long Multiplication, Percentages, Ordered Pairs on a Coordinate Grid, and
Probability.
we have to take decision at the end of 6 months when risk reward ratio
as per our
analysis say it can not give more than 20 % annualized return from there onward and on the other hand some other cheap stock are waiting for us... Even if one stock which we just sold after earlier will become multi baggar does not mean law of
probability say us to hold it..
Instead, think in terms of
probabilities, always knowing that technical
analysis only serves
as an idea of what is likely; it will never be able to tell the future.
Building on Success
As a rule, I allow for a 10 %
probability that any
analysis will fail, regardless of how well done.
Most scientific «facts» are accepted
as such based on
probability — that's the reason scientists perform, and report, statistical
analysis of their data.
In other words, you are picking on «high amplitude and persistent ridging»
as the red herring (short term events) to distract from the
probability analysis (regarding the long term anomaly trend attributable to increased RF).
The addition of data from 1880 to 1910 to the
analysis changed the trend (and expected
probability of extremes in the current decade, using your unique definition of «trend»)
as compared to the
analysis starting in 1911 by:
Because I advocated for a careful risk
analysis of the
probabilities associated with global warming models and projections he immediately casts me
as someone who has no interest in conservation or alternative energy sources.
In the meanwhile, it may be useful to note that spectral
analysis tries to account for mathematical artifacts, such
as «spectral leakage `,
probabilities that some frequencies are spurious, and the significance of the results.
The
analysis seeks to capture the economic risks of low -
probability, high - impact climate events
as well
as the changes most likely to occur in the future.
Perhaps you might humour me and offer your
analysis of the
probability that the 2010 land / ocean index,
as determined by GISS, say, will be greater than the index for 2005.
That the «objective» Bayesian method using Jeffreys» prior will produce perfect
probability matching is most easily seen
as being due to the general fact that an
analysis using the Jeffreys» prior is not affected by applying some monotonic transformation to the parameter (and then interpreting the results
as transformed, of course).
David Stockwell did a statistical
analysis of the
probability of such a large step up in the OHC occurring
as the jump depicts; it is impossible:
«We first state the main problem of the statistical
analysis of stochastic dynamical systems
as we understand it: based on a statistical
analysis of these systems, to reveal their common features that are realized with
probability one, i.e., for almost every realization of the relevant dynamical system.
This subject is complex, and the
analyses even more complex,
as it not only involves the direct science involved but the concept of variation,
probabilities, and ranges (and types) of shifts over time.
Thus the alerts should not be interpreted
as an
analysis of total tree cover loss area but rather
as an indication of an area that has a high
probability of having experienced tree cover loss or disturbance over time.
Abstract Result The trial was closed before completion of accrual because Bayesian predictive
probability analyses performed by an independent data monitoring committee indicated a
probability of 0.003 that at the end of the study prophylaxis would prove superior to observation and a
probability of 0.997 that there would be insufficient evidence at the end of the trial to choose either arm
as superior.
you will recall, I've been waiting for a year now for Curry to explain her muddled and confused approach to
probability, in particular her nonsensical «Italian Flag»
analysis which she seems to be recasting
as «fuzzy logic» (
as an aside, I do agree that her logic is fuzzy, but perhaps not in the way she intended).
The probabilistic
analyses of DAI reported in this section draw substantially on (subjective) Bayesian
probabilities to describe key uncertainties in the climate system, such
as climate sensitivity, the rate of oceanic heat uptake, current radiative forcing, and indirect aerosol forcing.
Our
analysis suggests that by 2030, the INDCs
as they stand may have used up the entire carbon budget for a good chance — 66 %
probability — of keeping temperature rise below 2C this century.
Now, without going to the trouble of a Baysian
probability analysis (which would just be putting numbers to educated guesswork), I think there is good reason to consider the Russian Heatwave sufficiently improbable on the assumption of no warming (relative to its
probability on the assumption of GW) that it is worth independant recognition
as evidence of the warming globe instead of just being burried under a mob of other statistics.
A fair
analysis would take into account the prior
probability of picking that extreme event (defined both by location and time unit) after it occurred — probably unquantifiable — but
as far
as I know these
analysis are not done a priori.
In time series
analysis, one series is treated
as a single sample realization from a given data generating process, so conditional on a given DGP, that
probability up there is completely meaningless.
My partner Patric deserves special recognition for handling the bulk of homestead related activities
as I park myself in front of the computer each evening to delve into the specifics of Z scores, standard deviation, degrees of freedom,
probability and regression
analysis.
As outlined in Statistical Policy Working Paper 22, an expert disclosure
analysis would also consider the
probability that an individual who is the target of an attempt at re-identification is represented on both Start Printed Page 82710files, the
probability that the matching variables are recorded identically on the two types of records, the
probability that the target individual is unique in the population for the matching variables, and the degree of confidence that a match would correctly identify a unique person.
As Swapan Khanna, co-founder of I - Save, insurance research and
analysis firm, says, «All early claims or claims that occur within two years of taking a policy are bound to be investigated since the
probability of deliberate fraud in such cases is higher.
Changes in rates of child diagnoses from baseline to 3 months
as a function of mother's remission and subsequently mother's level of response were analyzed using a repeated measures
analysis with binary response data, using generalized estimating equation (GEE) methods.27 A linear
probability model with an identity link function (rather than a logit - link function) was used to model interactions on the additive scale28 and to model a dose - response function using rates (rather than odds)
as the outcome measure because we considered risk differences to be a more relevant measure than odds ratios in our study.
Cost per QALY for FLNP, based on the complete case
analysis, was estimated at # 34 913 over 5 years and # 18 954 over 10 years duration, with the
probability that FLNP can be regarded
as cost - effective
as 36 % against the # 20 000 threshold over 5 years, and 51 % over 10; and 47 % against the # 30 000 threshold over 5 years, and 57 % over 10 (table 7).
ROC and conditional
probability analyses revealed that the CBCL performed reasonably well
as a screening tool for comorbidity in ADHD children in the primary care setting.