squares without spacetime relativity
By Henryk Szubinski
A RED SQUARE IN SPACE NEEDS A SPACETIME AROUND IT : BASIC DARK MATTER PROBLEM
Illustrations of unit circles in different p-norms (every vector from the origin to the unit circle has a length of one, the length being calculated with length-formula of the corresponding p).
Unit circle (superellipse) in p = 3/2 norm
Astroid, unit circle in p = 2/3 metric
In mathematics, the Lp spaces are function spaces defined using natural generalizations of p-norms for finite-dimensional vector spaces. They are sometimes called Lebesgue spaces, named afterHenri Lebesgue (Dunford & Schwartz 1958, III.3), although according to Bourbaki (1987) they were first introduced by Riesz (1910). They form an important class of examples of Banach spaces infunctional analysis, and of topological vector spaces. Lebesgue spaces have applications in physics, statistics, finance, engineering, and other disciplines.
A) CONTROL = MULTIPLE UNIVERSES
B) OF FAMILY WISE= SPACETIME LEVELS IN EXCHANGE OF FORCE HEIGHT
C)ERROR RATE= THE LOSS OF DATA ON THE PROCESS WIN
BASICS OF CONTROL OF FAMILY WISE ERROR RATES = TO THE GALACTIC VALUES OF FAMILY OF FORCES THAT ARE BEASED ON THE LOCATABILITY OF RED SQUARES AS PART OF THE LARGER UNIVERSE SLOAN GREAT WALL OF GALAXIES IN THE SEPERATIONS OF SQUARE SPACETIME REPLACEMENTS BY AREAS IN HIGHER VELOCITY
In statistics, the multiple comparisons, or multiple testing, problem occurs when one considers a set, or family, of statistical inferences simultaneously.[1] Errors in inference, including confidence intervals that fail to include their corresponding population parameters, or hypothesis tests that incorrectly reject the null hypothesis, are more likely to occur when one considers the family as a whole. Several statistical techniques have been developed to prevent this from happening, allowing significance levels for single and multiple comparisons to be directly compared. These techniques generally require a stronger level of evidence to be observed in order for an individual comparison to be deemed “significant”, so as to compensate for the number of inferences being made.
LOOKING INTO MULTIPLE APPLICATIONS OF SPACETIME AS WELL AS EVENT HORIZONS WITH SPECIFIC GRAVITY = BIT CONSTRUCT AS WELL AS FORCE BIT UNITS:
APPLICATIONS OF TYPE HIGGS BOSONS IN THEIR CONSTRUCT APPLICATIONS AND MANY MORE APPLICATIONS OF TYPE ATOMIC MODELS:FEYMAN DIAGRAMMS AND THE MULTIPLE LEVEL CONSTRUCTS:
ASTRONOMICAL RED SQUARES
BASICALLY MULTIPLE COMPARISONS FAIL AT THE RELATIVITY LEVEL WHERE THERE IS NO COMPUTABILITY BEYOND THE VALUES OF INFINITE GRAVITY AND THE SPEED OF LIGHT AS THE PARAMETER PROOF OF A ALRGER FORCE THAN THE RELATED PARAMETERS OF LIGHT SPEED RESTRICTIONS OF HAWKINS AND EINSTEIN SO THAT THE COMPENSATIONS FOR THE NUMBER OF INFERENCES BEING MADE = DARK MATTER IN MULTIPLE COMPARISONS ON 3 LEVELS WHERE MULTIPLE TESTING WOULD BE MUTUAL TO THE RELATIVE COMPARISONS
OF
knowing 2 is enough to know 3
1) EINSTEIN RELATIVITY =one side of the isocelees triangle 60 degrees in multiple testing
2) HAWKINS MULTIPLE SPACETIME GRAVITY= the alternate side of the isocelees triangle = 60 degrees in comparative tests
3)MULTIPLE COMPARISONS= the 3 rd side of the isocelees triangle = 60 degrees
multi universal alterability by the force of everything that pushes the relative levels
h upp h down + /- the volume = the Inertiality (S) force
where h upp / h down (3) = force (S) 4
type radial pulse on the formats of the angle altered from angle 1 to angle 2
1/2 angle Force S 4 =( h + 1 / h-1) 3
S2 angle F =6
so that the relative levels of the force pushing the levels by alterability of a x value = 6 relative push level alterability
=6 vol quantal
so that :
S2/6 (angle F )——->
= q Vol diff 6 D6<——-
so that
angle F ( q Vol) /S2 (1/6)
=6 (S2/6) /q Vol
taking the common divisive:
F q = 4S squ
as the multi universe value that pushes relative levels of force = variance in alteration:
the quant value is the relative value of the levels of Areas in super stabilised force of a similar basis vector square = vector 4 value square
or basic square comparisons = quant relativity without the spacetime: the differrence of squares
1) square = 4
2) square = S 4
3) square = S/4 (4)
root mean square as the formwards and reversed square relations to a defined difference between them as the forces that are active in the stability value of a square that does not need a theory of relativity as the continuiim of spacetime:
ALTERATIONS OF THE FOLLOWING
INTO THE FORMATS OF LARGER VALUE BITS SIMILAR TO THE SPACETIME EENVEELOPED FULL UNIT FORM
The RMS value of a set of values (or a continuous-time waveform) is the square root of the arithmetic mean (average) of the squares of the original values (or the square of the function that defines the continuous waveform).
In the case of a set of n values , the RMS value is given by:
The corresponding formula for a continuous function (or waveform) f(t) defined over the interval is
and the RMS for a function over all time is
The RMS over all time of a periodic function is equal to the RMS of one period of the function. The RMS value of a continuous function or signal can be approximated by taking the RMS of a series of equally spaced samples. Additionally, the RMS value of various waveforms can also be determined without calculus, as shown by Cartwright.[1]
In the case of the RMS statistic of a random process, the expected value is used instead of the mean.
F q = 4S squ
Formalism
For hypothesis testing, the problem of multiple comparisons (also known as the multiple testing problem) results from the increase in type I error that occurs when statistical tests are used repeatedly. If n independent comparisons are performed, the experiment-wide significance level α, also termed FWER for familywise error rate, is given by
- .
Unless the tests are perfectly dependent, α increases as the number of comparisons increases. If we do not assume that the comparisons are independent, then we can still say:
which follows from Boole’s inequality.
Example:
F q = 4S squ