Why does this expression simplify as such?General linear hypothesis test statistic: equivalence of two expressionsSlope Derivation for the variance of a least square problem via Matrix notationCovariance of OLS estimator and residual = 0. Where is the mistake?A doubt on SUR modelWhy trace of $I−X(X′X)^-1X′$ is $n-p$ in least square regression when the parameter vector $beta$ is of p dimensions?Getting the posterior for Bayesian linear regression with a flat priorDistribution of coefficients in linear regressionFitted values and residuals: are they random vectors?Proving that Covariance of residuals and errors is zeroWhat is the relationship of long and short regression when we have an intercept?

Mimic lecturing on blackboard, facing audience

Why do ¬, ∀ and ∃ have the same precedence?

Delete multiple columns using awk or sed

What kind of floor tile is this?

Taxes on Dividends in a Roth IRA

Can I say "fingers" when referring to toes?

What to do when eye contact makes your coworker uncomfortable?

What does Apple's new App Store requirement mean

Creating two special characters

The IT department bottlenecks progress, how should I handle this?

Does "he squandered his car on drink" sound natural?

Pre-mixing cryogenic fuels and using only one fuel tank

awk assign to multiple variables at once

How much theory knowledge is actually used while playing?

Has any country ever had 2 former presidents in jail simultaneously?

Are Captain Marvel's powers affected by Thanos breaking the Tesseract and claiming the stone?

A Trivial Diagnosis

How does electrical safety system work on ISS?

What fields between the rationals and the reals allow a good notion of 2D distance?

A variation to the phrase "hanging over my shoulders"

Is my low blitz game drawing rate at www.chess.com an indicator that I am weak in chess?

What is the highest possible scrabble score for placing a single tile

Has the laser at Magurele, Romania reached a tenth of the Sun's power?

Doesn't the system of the Supreme Court oppose justice?



Why does this expression simplify as such?


General linear hypothesis test statistic: equivalence of two expressionsSlope Derivation for the variance of a least square problem via Matrix notationCovariance of OLS estimator and residual = 0. Where is the mistake?A doubt on SUR modelWhy trace of $I−X(X′X)^-1X′$ is $n-p$ in least square regression when the parameter vector $beta$ is of p dimensions?Getting the posterior for Bayesian linear regression with a flat priorDistribution of coefficients in linear regressionFitted values and residuals: are they random vectors?Proving that Covariance of residuals and errors is zeroWhat is the relationship of long and short regression when we have an intercept?













3












$begingroup$


I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



$$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.










share|cite|improve this question











$endgroup$
















    3












    $begingroup$


    I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



    $$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



    In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.










    share|cite|improve this question











    $endgroup$














      3












      3








      3





      $begingroup$


      I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



      $$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



      In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.










      share|cite|improve this question











      $endgroup$




      I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



      $$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



      In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.







      regression multiple-regression linear-model residuals






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited 3 hours ago









      Benjamin Christoffersen

      1,264519




      1,264519










      asked 4 hours ago









      DavidDavid

      24311




      24311




















          2 Answers
          2






          active

          oldest

          votes


















          3












          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            2 hours ago


















          3












          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$








          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            2 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            2 hours ago










          Your Answer





          StackExchange.ifUsing("editor", function ()
          return StackExchange.using("mathjaxEditing", function ()
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          );
          );
          , "mathjax-editing");

          StackExchange.ready(function()
          var channelOptions =
          tags: "".split(" "),
          id: "65"
          ;
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function()
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled)
          StackExchange.using("snippets", function()
          createEditor();
          );

          else
          createEditor();

          );

          function createEditor()
          StackExchange.prepareEditor(
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: false,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: null,
          bindNavPrevention: true,
          postfix: "",
          imageUploader:
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          ,
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          );



          );













          draft saved

          draft discarded


















          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstats.stackexchange.com%2fquestions%2f398797%2fwhy-does-this-expression-simplify-as-such%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown

























          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3












          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            2 hours ago















          3












          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            2 hours ago













          3












          3








          3





          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$



          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 2 hours ago









          dlnBdlnB

          81011




          81011











          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            2 hours ago
















          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            2 hours ago















          $begingroup$
          Ah. The key thing I was missing was what you wrote in the last line.
          $endgroup$
          – David
          2 hours ago




          $begingroup$
          Ah. The key thing I was missing was what you wrote in the last line.
          $endgroup$
          – David
          2 hours ago













          3












          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$








          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            2 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            2 hours ago















          3












          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$








          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            2 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            2 hours ago













          3












          3








          3





          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$



          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 2 hours ago









          BenBen

          26.8k230124




          26.8k230124







          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            2 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            2 hours ago












          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            2 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            2 hours ago







          2




          2




          $begingroup$
          Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
          $endgroup$
          – dlnB
          2 hours ago




          $begingroup$
          Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
          $endgroup$
          – dlnB
          2 hours ago




          1




          1




          $begingroup$
          @dlnb: Jinx! Buy me a coke!
          $endgroup$
          – Ben
          2 hours ago




          $begingroup$
          @dlnb: Jinx! Buy me a coke!
          $endgroup$
          – Ben
          2 hours ago

















          draft saved

          draft discarded
















































          Thanks for contributing an answer to Cross Validated!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid


          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.

          Use MathJax to format equations. MathJax reference.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstats.stackexchange.com%2fquestions%2f398797%2fwhy-does-this-expression-simplify-as-such%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Are there any AGPL-style licences that require source code modifications to be public? Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?Force derivative works to be publicAre there any GPL like licenses for Apple App Store?Do you violate the GPL if you provide source code that cannot be compiled?GPL - is it distribution to use libraries in an appliance loaned to customers?Distributing App for free which uses GPL'ed codeModifications of server software under GPL, with web/CLI interfaceDoes using an AGPLv3-licensed library prevent me from dual-licensing my own source code?Can I publish only select code under GPLv3 from a private project?Is there published precedent regarding the scope of covered work that uses AGPL software?If MIT licensed code links to GPL licensed code what should be the license of the resulting binary program?If I use a public API endpoint that has its source code licensed under AGPL in my app, do I need to disclose my source?

          2013 GY136 Descoberta | Órbita | Referências Menu de navegação«List Of Centaurs and Scattered-Disk Objects»«List of Known Trans-Neptunian Objects»

          Metrô de Los Teques Índice Linhas | Estações | Ver também | Referências Ligações externas | Menu de navegação«INSTITUCIÓN»«Mapa de rutas»originalMetrô de Los TequesC.A. Metro Los Teques |Alcaldía de Guaicaipuro – Sitio OficialGobernacion de Mirandaeeeeeee