I think if Spencer has tweaked a model incorrectly then the real world data should be able to falsify his assumptions behind the tweak over
time as the data points better match the untweaked models projections.....
Not exact matches
Some
time after this Decision
Point began collecting NYSE common stock only (CSO) breadth and volume
data, and we have a set of NYSE CSO indicators that are available to subscribers through our Straight Shots Menu,
as well
as various indicator series.
This is an extremely important
point, and contrasts with the position of media pundits and investment advisors who consistently cite other
data as a rationale for being in the market at all
times.
But in a few years, when 5G gear sending
data at up to 100
times the speed of current networks is commonplace, people may remember July 2016
as a major turning
point.
The
Times looked at two sorts of historical
data — the closing prices of the S. & P. 500 - stock index
as well
as the highest and lowest
points the index reached during each trading day.
Sundt (left) defined «crisis alpha»
as the ability to generate returns at a
time of crisis, and cited 20 years worth of
data from his firm's Altegris 40 index of top commodity trading advisors (CTAs) to prove the
point.
It was at that
point, according to the New York
Times report, that the team at the Psychometric Centre was approached by Christopher Wylie, who worked at a company called Strategic Communication Laboratories, self - billed
as a
data analytics company «to governments and military organizations worldwide.»
Given this
data, if at the given
time - frame the cost of the pair of currencies gets to 1.30667 we must swiftly enter a «put» prediction
as a «retracement of price» is anticipated to come about
as the price has risen above the upper pivot
point.
These are the most updated historical estimates and
data available regarding the Blue Spec and Gold Spec deposits (except for the
data contained in this news release and Novo's news release of January 21, 2016) and,
as such, no work needs to be done at this
point in
time to upgrade or verify the historical estimates.
This strong growth - driven by both occupancy and rate improvement and which was even stronger at upper upscale, urban, and luxury properties - comes at a
time when economic
data points have called into question the near - term sustainability of the U.S. economic recovery and would appear to demonstrate that
as yet no reigns have been placed on corporate travel.
It includes Systematic Equity Strategy factors to help managers measure sensitivities to potentially crowded trades
as well
as a comprehensive set of fundamental factors based on
point - in -
time data, essential for building and back testing investment strategies.
As evidenced by the entire span of available historical
data, the elevation of profit margins is directly related — not only in overall level, but also in their
point - to -
point change over
time — to the sum of government and household saving.
Interesting
data points: Absentee buyers, typically investors who don't intend on living in the home
as a primary residence, made up 22.3 percent of all homes sold in March, up from 20.9 percent at the same
time last year.
My
point is that, at the
time Leclerc wrote his interpretation of Whitehead, he understood Whitehead's systematic position to be that past actual entities function in the present concrescence only
as passive perceived
data, not
as truly causally efficacious.
There is significantly less pricing
data for 2018's harvest
as compared to that of 2017 at this
point in
time.
As the House of Commons library
pointed out, this is probably due to changes in how the
data is handled rather than any genuine fall in waiting
times.
Bowman said the spacecraft is currently taking science
data as well
as optical navigation
data, which is «very important because it is a measure of how well we are doing on that trajectory to hit that specific
point at the specific
time that the science team wants us to hit.
Krishna Shenoy, the Lim professor of electrical engineering, bioengineering and neurobiology at Stanford and an investigator of the Howard Hughes Medical Institute, noted, «This substantial reduction in training
time is remarkable
as it requires the new algorithm to make very efficient use of neural
data coming in for so little
time, under a minute in some cases, and helps
point the way toward further advances of real - world importance.»
Historically, researchers have divided up
data from a dynamical system through Markov partitions — a function that describes a
point in space in relation to
time, such
as a model that describes the swing of a pendulum.
«What was specially relevant from a basic research standpoint was that, for the first
time, the descent in levels of a plant hormone compared to control values
as an answer to environmental stress could be a physiologically significant response — and
data points in this direction,» adds Arbona.
As they continue to add
data points from around the globe and move forward in
time, a process of elimination takes place until they know what the temperature is in, say, Washington, D.C., 100 years ago.
At seven
time points between 1833 and 2007 the researchers used geospatial
data and programming script to construct digital maps (shown above) that treat the street system
as a network of links (streets) and nodes (intersections).
«This new
data helps us to better understand the various steps to evaluate the success of an ILI program and a key
point in
time to consider supplementary treatment options, such
as pharmacotherapy and surgery.»
However, the
data points to early intervention (day 7 and day 21)
as generally being more effective than later intervention (day 48) in relation to structural degeneration,
as changes may have become irreversible by such a late
time point.
However, cell - grafted animals tested at P150 continued to perform
as high
as 0.49 c / d (
data not shown), whereas no measurable response was observed in any of the sham - operated or untreated retinas at this late
time point.
The
point at which a trend becomes clear within the average temperature
data for a given region — known
as the «
time of emergence» — depends on when the source of the warming begins, how fast it happens and the amount of background «noise» obscuring the signal.
• Use 1 - 2 measurable events to set
as data points that you can test and retest → For example you could track a 1 repetition max deadlift, a mile sprint
time, or your max number of pullups.
Once sampled, the
data points are amplified and then plotted
as an amplitude on the electromyogram over
time.
As I stated earlier, PISA produces
data collected at a single
point in
time.
Using NSC
data, we track whether students were enrolled in any graduate program
as of fall 2016, well beyond the
point at which all spring 2014 applicants would have had to enroll if admitted or would have had
time to apply to and enroll in other institutions if rejected.
We include 2002
as a pre-NCLB
data point in our analysis because, given the
timing of the passage and implementation of the law, it seems unlikely that spring 2002 scores could have been substantially influenced by NCLB (see sidebar).
Using the B&B: 08/12
data, we examine total debt - to - income ratios for individuals who are employed full -
time in 2012 and not currently enrolled, and find that black students with graduate degrees have debt - to - income ratios that are 27 percentage
points higher than white graduate degree holders (even after controlling for other characteristics such
as parental education and income).
Looking at the
data across the 1980s, 1990s, and 2000s, we find that teachers are about 9 to 11 percentage
points more likely than other Americans
as a whole to pray one or more
times per day.
States may report certain information required on online school report cards at a later
point in
time than other metrics, such
as per - pupil expenditure
data (which lag due to the fiscal calendar).
Thursday's LA
Times editorial about the use of student achievement
data in teacher evaluations around the country (Bill Gates» warning on test scores) makes some valuable
points about the dangers of rushed, half - baked teacher evaluation schemes that count test scores
as more than half of a teacher's evaluation (
as is being done in some states and districts)...
What's really sad is that we're spending billions of dollars and countless hours of principals»
time collecting
data with these multiple measures, simply to rank 90 % of all teachers somewhere between a 2 and a 3 on a 4
point scale, while offering those same teachers little or no actionable information
as to how they might improve their practice.
In addition, they all use students» prior test score
data to «control for» the risk factors that impact student learning and achievement both at singular
points in
time as well
as over
time.
New Jersey, for example, defines an SGO
as «a long - term academic goal that teachers set for groups of students and must be: Specific and measureable; Aligned to New Jersey's curriculum standards; Based on available prior student learning
data; A measure of what a student has learned between two
points in
time; Ambitious and achievable» (for more information click here).
At this
point in
time, the quality of the
data available for tracking their progress ranges from rough estimates to moderately precise, with the bulk coming from the non-government National Student Clearinghouse, which matches high school, college, and other identifier records to track students
as they progress through higher education.
Also, while states are required to measure academic proficiency indicators — which are static,
point - in -
time indicators within their school classification systems — there may be an opportunity to measure specific aspects of proficiency
data, such
as growth or scale scores, which are further described below.24 That is, ESSA may provide states an opportunity to use differentiation within an indicator,
as well
as differentiation between schools.
Over
time, we see the success of this teaching strategy, with improvements evident in Kickboard behavior
data points as well
as observed student behavior.
MyFlexPD, the on - demand component of DreamBox's complete FlexPD solution, engages teachers in a dynamic, self - paced experience that enables them to use real -
time student performance
data as a starting
point for their own professional learning.
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I also go back to one of my
points is that if retailers / wholesalers don't have any specific territorial restriction
data for e-books then they should apply the ones they have for the physical book until the publishers update / provide the relevant e-book
data — which 9
times out of 10 will be the same
as for the physical book.
Proponents of passive management
point to the SPIVA
data as evidence of the inability (in aggregate) of asset managers worldwide to beat relevant passive indices over meaningful periods of
time.
Is it reasonable to believe that over
time,
as more
data points are entered into the historical record, there will be less divergence between the results obtained from use of the slower and harder methodology and from use of the faster and easier methodology?
As far as the price of oil goes, it cracks me up to see people pointing to this or that data point as to why oil won't rise above price $ X by time period Y. I don't remember hearing a peep about oil falling drastically last summe
As far
as the price of oil goes, it cracks me up to see people pointing to this or that data point as to why oil won't rise above price $ X by time period Y. I don't remember hearing a peep about oil falling drastically last summe
as the price of oil goes, it cracks me up to see people
pointing to this or that
data point as to why oil won't rise above price $ X by time period Y. I don't remember hearing a peep about oil falling drastically last summe
as to why oil won't rise above price $ X by
time period Y. I don't remember hearing a peep about oil falling drastically last summer.
This model is a simple and intuitive valuation - dependent model,
as illustrated by the log - linear line of best fit in Figure 1.3 At each
point in
time, we calibrate the model only to the historically observed
data available at that
time; no look - ahead information is in the model calibration.
You can click your selector on any
point on the chart and see the returns over
time, those returns on an annualized,
as well
as various
data points like open, high, low, close, and indicator values.