## Linear Regression – Manual Forest Test

I try to understand the forest test in logistic regression, but when I use the formula, I get something else.
The formula I use is the following:

S = (XtVX)-1

Where X is the matrix r x k + 1 of the independent variable (with the constant first) and V is the diagonal matrix whose elements are vii = pI(1-pI), his p the calculated probability for each element. The square roots of the diagonal elements would be the standard deviations of the parameters.

I've gotten it from http://www.real-statistics.com/logistic-regression/significance-testing-logistic-regression-coefficients/, but basically it's basically the same thing I saw.
Now I am trying to work through this formula, and it gives me something other than what a model would bring me.
Use R to create a random data record:

``````set.seed (5674)

test <- cbind.data.frame (a = sample (seq (0,3, length.out = 5000), size = 1000,
replace = TRUE),
b = sample (seq (0.3, length.out = 5000), size = 1000,
replace = TRUE),
c = sample (seq (0.3, length.out = 5000), size = 1000,
replace = TRUE),
d = sample (seq (0.3, length.out = 5000), size = 1000,
replace = TRUE),
e = sample (seq (0.3, length.out = 5000), size = 1000,
Replace = TRUE))

test \$ y <- sapply (1: 1000, function (x) {
ex <- exp (0.3 * test \$ a[x] + 0.25 * test \$ b[x] - 0.4 * test \$ c[x] -
0.15 * test \$ d[x] - 0.05 * test \$ e[x])
x1 <- ex / (ex + 1)
x2 <- 1 / (ex + 1)
t <- sample (0: 1, size = 1, prob = c (x2, x1))
Return (t[1])
})
``````

Now I create the model and get the predicted probability:

``````Model <- glm (y ~ a + b + c + d + e, data = test)
w1 <- w * (1-w)
``````

Then I use the formula I gave earlier to get the variances matrix covariances:

``````Matrix <- cbind (cons = rep (1,1000), as.matrix (test[,1:5]))

matrix1 <- apply (array, 2, function (x) {x * w1})

Variance <- t (Matrix1)% *% Matrix
Variance1 <- solve (variance)
sqrt (varance1[1,1])
``````

The last line displays the standard deviation of the variable a. It gives me that:

``````[1]    0.07855672
``````

What is different from what the model says to me:

``````Summary (model)[[12]]
``````
``````                                                            Estimated standard error t value Pr (> | t |)
(Section) 0.46125485 0.06153214 7.6261742 5.641569e-14
to 0.08539726 0.01776354 4.8074451 1.764783e-06
b 0.06246717 0.01793220 3.4835200 5.164320e-04
c -0.09870667 0.01752367 -5.6327620 2.307966e-08
d -0.04879819 0.01752240 -2.7849038 5.456082e-03
e -0.01540819 0.01715283 -0.8982882 3.692495e-01
``````

Is there an error in the formula?

## macos – The computer ID or Active Directory forest can not be changed in the directory utility

I have a problem connecting to Active Directory using the directory utility. Once I got connected, another member of my team told me that he had trouble with the connection and I untied the computer. However, when I tried to reconnect it, I noticed that the Active Directory forest was dimmed and said "-automatically-". Also, I can not change this unless the Computer ID field is dimmed.

Has any of you encountered this problem and found a solution?

## How do I find the size of each tree in a forest?

You can use any number of Dynamic Connectivity data structures; B. a dynamic connectivity tree for Euler tours.

To summarize the reference when labeling the vertices of the original tree $$T$$ loud first (designated $$label_f$$) and last (designated $$label_l$$) euler-tour visit order on $$T$$you can maintain a BST $$T ^ *$$,

Every node $$x$$ in the $$T$$ is linked to two nodes in $$T ^ *$$: $$v_1$$. $$v_2$$, from where $$key (v_1) = label_f (x)$$ and $$key (v_2) = label_l (x)$$, Note $$| T ^ * | = 2n$$ and BST operations on $$T ^ *$$ will cost $$O ( log n)$$

Now we can support the following operations $$T$$:

• $$cut (u, v)$$: Separate the edge $$(u, v)$$, Describe $$x$$ the vertex whose $$label_f$$ is lower. This is done simply by splitting off $$T ^ *$$ the interval $$[label_f(x),label_l(x)]$$ what can be done in it $$O ( log n)$$ by dividing and merging.
• $$findroot (v)$$: Since the root of the tree has the minimum $$label_f$$, the root of $$v$$ will be the smallest node in the Euler Tour BST to which he belongs

Because every node $$x$$ in the $$T$$ is represented by exactly two nodes in $$T ^ *$$by simply saving the rank (tree size) on the Eulertour BST (tree size)$$T ^ *$$) and divide by $$2$$ You can answer the question "How many nodes are in the tree of" $$x$$?" in the $$O (1)$$Of course you are ready to pay $$O ( log n)$$ every time you separate an edge.

## [ Newborn & Baby ] Open question: Are there scary things in the forest?

Are scary things in the water? Are there scary things in the desert? ,

## Restoring the forest of Active Directory – Doubt in unclear sentence in the MS documentation

I'm trying to apply and test best practices for fully recovering Active Directory forests, as described in Best Practices for Schema Update Implementation or How I Learned to Stop Worrying and Restoring Themselves love "and explained in detail in the" AD Forest Recovery Guide ". ,

However, this note is very unclear to me: "Caution: Perform an authoritative (or primary) SYSVOL restore on only the first domain controller that is restored to the forest root domain. Incorrectly performing SYSVOL primary restore operations on other domain controllers causes replication conflicts of SYSVOL data. "(Https://docs.microsoft.com/en-us/windows-server/identity/ad-ds/manage/ad-forest) (restore, perform, initial restore)

What are the reasons why SYSVOL should not be authorized to be restored once per domain, but only once per forest (in the root domain)? SYSVOL is not just replicated at the domain level? So, would not it be correct to perform an authoritative restore of just one SYSVOL for each domain of the forest (that of the restored domain controller for each domain in the forest) instead of just the root domain? Not only should the conflict occur if I have the SYSVOL folder as authoritative in more than one domain controller in the same domain.
It's just a Microsoft typo (less likely, but possible) or am I missing something (certainly more likely)?

Thanks, Diego

## Authorization – What is the logic of Microsoft to recommend the creation of "God Group" / Tier-0 in their Red Forest model for AD?

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## Windows Server 2008 R2 – Is it possible that the AD forest has different versions of AD in different locations?

I am faced with another problem when planning the next AD upgrade (from 2008R2 to 2019): we have AD Forest, which consists of several sites, each based on AD 2008R2. As we update a Site AD version from 2008R2 to 2019, other sites will stay in place until 2008R2, until the Schema 2019 works well and no problem occurs. And now I doubt if the whole forest is functional and no problem occurs if one site is on 2019 and other sites on 2008R2 AD versions.

So the question is: in practice (that is, in real life) becomes the forest still be functional and as one site (and eventually all other sites in turn) be usable while the remaining sites are still on a lower AD version? In general, the forest had to have cross-site authentication, so no sophisticated features are required. I should ask anyway, before you jump into the water 🙂

## App Windows – Itoo Software Forest Pack Pro 6.2.1 for 3DsMax (x64) | NulledTeam UnderGround

File size: 1.6 GB

Forest Pack is the world's most popular litter plugin for 3ds Max®. It provides a comprehensive solution for creating huge areas of objects, from trees and plants to buildings, masses, aggregates, ground cover, rocks and more. If you can model it, Forest Pack can disperse it. Countless studios rely on Forest Pack-tested algorithms and native shaders to render scenes with virtually unlimited numbers of objects and polygons, without burdening computer resources.
The

Simulate natural distribution patterns and take advantage of the best ways to get the most out of your assets with advanced mapping and randomization tools, or optimize your scatters with close control over all aspects of the plug-in.

Properties:
FAST
Forest Pack is fully multi-threaded and optimized for speed and efficiency. A typical scene can effortlessly use over 100,000 objects with 1 million polys each and render in minutes.

INTERACTIVE
The point cloud display mode faithfully displays true objects in the viewports as they appear in the render. Amazing fast. In this mode, you can move and edit elements in real time while maintaining an accurate preview of your scenes.

PARAMETRIC AREAS
From the moment you select a stray field, Forest Pack is completely parametric. Without destructive editing, you make design decisions at all times and immediately see the results in the viewport.

NATURALLY
Create the limitless variation of nature with the ability to randomize distribution, objects, transformations, animations, bitmaps, and hues. Imitate natural growth patterns using the innovative cluster feature.

PRECISE
Maps Control, if you need it. You can control parameters using maps and expressions, or you can use the tree editor mode to scatter splines, markers, or even manipulate and place individual objects.

Use Forest Pack's built-in library browser to select and assign plants with a single click. Forest Pack Pro contains over 100 models. You can also create your own presets and easily share them with colleagues.

Compatibility: 3DsMax 2018-2019 (x64)

What's new:
Distribution-> Reference by Node-> Pivot copies the Gbuffer ID of the reference node into Forest Effects-> fpItem.userID
Note: The Forest object is not updated when the ID changes because it is a maximum limitation. You must manually re-create using Display-> Create → Refresh.
Fixed bug with Mental Ray crash.
Fixed: fpItem.tintMult is converted to an integer when changed in forest effects.
Fixed: The process of collecting all "Map" folders and adding to "Customize -> External Files" is incorrect.
Fixed a crash with paint surfaces and large coordinate values ​​(ie, millimeters with large areas). This bug has been fixed.

START PAGE

Itoo Software Forest Pack Pro

Library
The

## Forest identity for a continuous stochastic process

https://en.wikipedia.org/wiki/Wald%27s_equation

Holds for discrete stochastic process. Is there a version of such an equation for a continuous stochastic process?

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