Displaying 8 results from an estimated 8 matches for "mu_a".
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2017 Nov 21
2
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
...ter with a default value of .03/252 i.e. an ANNUAL 3% rate converted
to a DAILY rate, expressed in decimal.
That means that the other argument to this function, x, should be DAILY
returns, expressed in decimal.
Suppose he wanted to create random data from a distribution of returns with
ANNUAL mean MU_A and ANNUAL std deviation SIGMA_A, both stated in decimal.
The equivalent DAILY returns would have mean MU_D = MU_A / 252 and standard
deviation SIGMA_D = SIGMA_A/SQRT(252).
He calls MU_D by the name mu_base and SIGMA_D by the name sigma_base.
His loop now converts the random numbers in his mat...
2017 Nov 21
0
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
...03/252 i.e. an ANNUAL 3% rate converted
> to a DAILY rate, expressed in decimal.
> That means that the other argument to this function, x, should be DAILY
> returns, expressed in decimal.
>
> Suppose he wanted to create random data from a distribution of returns
> with ANNUAL mean MU_A and ANNUAL std deviation SIGMA_A, both stated in
> decimal.
> The equivalent DAILY returns would have mean MU_D = MU_A / 252 and
> standard deviation SIGMA_D = SIGMA_A/SQRT(252).
>
> He calls MU_D by the name mu_base and SIGMA_D by the name sigma_base.
>
> His loop now conve...
2017 Nov 21
1
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
....03/252 i.e. an ANNUAL 3% rate converted to a DAILY rate, expressed in decimal.
>> That means that the other argument to this function, x, should be DAILY returns, expressed in decimal.
>>
>> Suppose he wanted to create random data from a distribution of returns with ANNUAL mean MU_A and ANNUAL std deviation SIGMA_A, both stated in decimal.
>> The equivalent DAILY returns would have mean MU_D = MU_A / 252 and standard deviation SIGMA_D = SIGMA_A/SQRT(252).
>>
>> He calls MU_D by the name mu_base and SIGMA_D by the name sigma_base.
>>
>> His l...
2017 Nov 21
0
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
...ter with a default value of .03/252 i.e. an ANNUAL 3% rate converted
to a DAILY rate, expressed in decimal.
That means that the other argument to this function, x, should be DAILY
returns, expressed in decimal.
Suppose he wanted to create random data from a distribution of returns with
ANNUAL mean MU_A and ANNUAL std deviation SIGMA_A, both stated in decimal.
The equivalent DAILY
Then he does two steps: (1) generate a matrix of random values from the
N(0,1) distribution. (2) convert them to DAILY
After initializing the matrix with random values (from N(0,1)), he now
wants to create a series of D...
2017 Nov 21
2
Do I need to transform backtest returns before using pbo (probability of backtest overfitting) package functions?
Wrong list.
Post on r-sig-finance instead.
Cheers,
Bert
On Nov 20, 2017 11:25 PM, "Joe O" <joerodonnell at gmail.com> wrote:
Hello,
I'm trying to understand how to use the pbo package by looking at a
vignette. I'm curious about a part of the vignette that creates simulated
returns data. The package author transforms his simulated returns in a way
that I'm
2008 May 02
0
isotonic/ordered heterogeneity tests
dear R-help:
one of my students is struggling to test an ordered alternative
hypothesis on a set of groups (e.g., mu_a <= mu_b <= mu_c).
There has been some literature on this topic -- a lot of
this goes back to Bartholomew (1961); Gaines and Rice
(see refs below) are the ones who've popularized it in the
ecology community. The topic is closely related to isotonic regression,
but all of the isotonic-regr...
2001 Oct 17
3
Type III sums of squares.
...ightenment.
Point 3 --- what hypothesis is being tested by SSA?
Let factor A correspond to index i, and B to index j.
Let the cell means be mu_ij. (In the overparameterized
notation, mu_ij = mu + alpha_i + beta_j + gamma_ij.)
The hypothesis being tested is
H_0: mu_1.-bar = mu_2.-bar = ... = mu_a.-bar
where factor A has a levels, and ``mu_i.-bar'' means
the average (arithmetic mean) of mu_i1, mu_i2, ..., mu_ib.
(Note --- factor B has b levels.)
I.e. the hypothesis is that there is no difference, on average,
between the levels of A, the average being taken over the levels
of B.
No...
2006 Oct 05
2
treatment effect at specific time point within mixedeffects model
Hi David:
In looking at your original post it is a bit difficult to ascertain
exactly what your null hypothesis was. That is, you want to assess
whether there is a treatment effect at time 3, but compared to what. I
think your second post clears this up. You should refer to pages 224-
225 of Pinhiero and Bates for your answer. This shows how to specify
contrasts.
> -----Original Message-----