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Questions tagged [quadratic-form]

A quadratic form is a homogeneous polynomial of order two.

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1answer
25 views

Why do we use quadratic form for random vectors? [closed]

I am studying linear regression. I have studied this in the past, but this is my first time exposing myself to the matrix form of multiple linear regression. My matrix algebra/linear algebra skills ...
2
votes
1answer
33 views

Quadratic polynomial - how to test correlation between x and y?

I have one dependent variable (fish abundance) and one independet variable (time), both continuous. I would like to test the correlation between them because I expect that the abudance changes over ...
2
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1answer
152 views

Mean and Variance of SSE

First, let \begin{equation} SSE = \overrightarrow{y}'(I - H) \overrightarrow{y} \end{equation} where \begin{equation} \overrightarrow{y} \sim MN(\textbf{X} \overrightarrow{\beta}, \sigma^{2}I) \\ H ...
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0answers
22 views

Summing linear and quadratic effects of a variable in polynomial models?

I have a regression model that includes two predictor variables, but each is represented by a linear and quadratic term. $$y \sim a + b_1x + b_2x^2 + b_3y + b_4y^2$$ All the terms are significant, ...
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0answers
20 views

Prediction Interval on a Product

As a (perhaps) less offensive twist on this question, suppose that $z_i$ are independent $p$-variate standard normals: $z_i \sim \mathcal{N}\left(0, I\right).$ Let $a$ be an unknown $p$-vector. ...
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0answers
11 views

Test of concavity for repeated measures data

First question here. I'm trying to figure out what statistical test is appropriate for testing whether a series of data is concave or convex. Specifically, this is coming from a human subjects ...
0
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1answer
38 views

Interpretation of Cox Hazard Model with quadratic term

I am having trouble finding information on how to interpret coxph model hazard ratios with a quadratic term. Some of my variables are continuous count data, whereas others are continuous percentages. ...
0
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1answer
52 views

Quadratic model of data?

Is it possible to fit a quadratic or polynomial model with this type of data? Two inputs, input one is a temperature sensor: Input two is a valve opening on a scale from 0-100: This is a scatter ...
4
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1answer
122 views

Is the Quadratic Approximation of Log-Likelihood Equivalent to the Normal Approximation of the MLE?

Let $X_1, X_2, ..., X_n \sim \text{IID N}(\theta, \sigma^2)$ with $\sigma^2$ known, and let $\hat{\theta}$ be the MLE of the mean. (1) How can I show that in this case, the following is true? $$\...
1
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1answer
87 views

Covariance of Two Quadratic Forms

We're looking for the $\operatorname{Cov}\left[x^T A x, ~x^T B x\right]$ where $x$ is random variable and mean-centered, but not independent and $A$ and $B$ are symmetric matrices. The fundamental ...
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0answers
15 views

Sums of degenerate quadratic forms

I am searching for an analogue of the fact: let $\Sigma_1 , \Sigma_2> 0$ in $\mathbb R^{m \times m}$ and let $x,c_1, c_2 \in \mathbb R^m$ be arbitrary. Let $\Sigma_3^{-1} = \Sigma_1^{-1} + \Sigma_2^...
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0answers
62 views

Regressing quadratic form x'Ax onto dot product involving x [closed]

I have the following simple panel relation to estimate: $y_{i,t} = \beta_i x_{i,t} + \epsilon_{i,t}$, where $y$ and $x$ however are linked through: $y_{i,t} = w_i'\Omega_t w_i, \\ x_{i,t} = w_i'f_t,...
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0answers
12 views

Center or square first when creating a quadratic term with a grand-mean centered variable in a multilevel model

I have a standard 2-level hierarchical linear model that I’m doing (household water use is the dependent variable), and one of the level-1 (household-level) variables (average cost) includes a ...
2
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0answers
39 views

Is there any sort of higher-order SVD (quadratic and above) for dimensionality reduction?

X-Posted on math.stackexchange, apologies, though I thought this was equally relevant to both communities. I'm wondering if there exists any higher-order SVD for dimensionality reduction. Note that ...
4
votes
1answer
523 views

Interpreting a Quadratic Term in Binary Logistic Regression

Apologies in advance for my limited stats knowledge. I hope someone can help. I am trying to understand how to interpret the coefficients of both the linear and quadratic term in a binary logistic ...
3
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0answers
192 views

Distribution of quadratic form of multivariate normal with linear term

Suppose that $A$ is a symmetric non-random matrix and $X\sim N(\mu,\Sigma)$ and $b \in R^n$ is a non-random vector. Then what is the distribution of $$X^tAX+b^tX \quad ?$$ The distribution without ...
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0answers
17 views

Question regarding spectral decomposition of quadratic forms

Let $Y$~ $N(0,\Sigma)$ and A is non-negative definite symmetric matrix. Then $Q=Y^\prime AY$. I need to show that $Q=\sum_{i=1}^n \lambda_i Z_i^{2} $ ,where $Z_i^{2}=\chi_1^{2}$ (That means $Z_i$ ...
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0answers
56 views

Interpret Quadratic Regression with Asinh transformation

I have a regression equation that uses covariates of the following form asinh(y) = b0 + b1 asinh(x) + b2 (asinh(x))^2 + error and am wondering how to intepret the ...
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0answers
32 views

quadratic forms [closed]

Let $V$ be a nonsingular $m \times n$ matrix and $M$ an $m \times m$ nonsingular symmetric matrix. Are the following inequalities true: $ \lambda_{max}( V' M V ) \leq \lambda_{max}(M) \lambda_{max}(V'...
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0answers
22 views

Accounting for non-linear trend in SOME samples of a linear mixed model using quadratic

I have the following data: Pine Forest Biomass ~ Age | Plot: Each black curve represents whole-plot biomass for each individual plot I want to formally examine ...
1
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1answer
41 views

Insignificant x, but significant x squared

I have estimated the following model to capture increasing/decreasing marginal effect of $x$ on $y$. : $y=\alpha + \beta_1x+ \beta_2x^2 +e$ where $\beta_1$ is statistically insignificant, but $\...
10
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1answer
322 views

Asymptotic normality of a quadratic form

Let $\mathbf{x}$ be a random vector drawn from $P$. Consider a sample $\{ \mathbf{x}_i \}_{i=1}^n \stackrel{i.i.d.}{\sim} P$. Define $\bar{\mathbf{x}}_n := \frac{1}{n} \sum_{i=1}^n \mathbf{x}_i$, and $...
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0answers
517 views

How to report results of a polynomial regression with a discrete independent variable

I have been recently trying to fit a linear model to my data. The dependent variable is continuous and the independent variable is numeric and discrete. When I first test the assumptions concerning ...
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0answers
441 views

If I have significant linear and quadratic terms, can I interpret both of these results?

I would have thought there'd be an answer to this question on here already, but I've been unable to find it, so I apologize if this is a repost. If I have a regression model of the form ...
2
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0answers
391 views

Mixed Effects model with quadratic term in fixed, but not in random part

Say one wishes - and believes - to fit a mixed effects model where time ($x_{ij}$ below) is included in a linear and quadratic term in the fixed part, but only linear in the random part (hence random ...
0
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1answer
871 views

Equivalent to ANOVA for non-linear (quadratic) relationships

I am trying to perform the equivalent of a repeated-measures ANOVA using data that have a non-linear relationship. The independent variable position runs from -20 ...
3
votes
1answer
499 views

Quadratic form and Chi-squared distribution

It's about the demostration of the quadratic forms and chi-squared distribution. Let's split the problem: We have a $n$ vector with n standardized normal distribution called $z={[z_1,z_2...z_n]}$. ...
3
votes
1answer
1k views

Linear and quadratic term interpretation in regression analysis

I'm considering the case of a factor which is detrimental to performance but including also, a quadratic term to allow for the existence of a non-linear relationship. In all cases, both linear and ...
4
votes
1answer
175 views

Proof that $\mathrm{Cov}(x^TAx,x^TBx) = 2 \mathrm{Tr}(A \Sigma B \Sigma) + 4 \mu^TA \Sigma B \mu$

Suppose $\vec x \sim N(\vec \mu, \Sigma)$ is multivariate normal. I want to see that $\mathrm{Cov}(\vec x^TA\vec x,\vec x^TB\vec x) = 2 \mathrm{Tr}(A \Sigma B \Sigma) + 4 \vec \mu^TA \Sigma B \vec \...
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0answers
35 views

If $\vec y \sim N(\vec 0,\Sigma)$, what is the distribution of $y^TAy$, when $A$ is indefinite?

Suppose $\vec y \sim N(\vec 0,\Sigma)$ with $\Sigma$ singular. Is the distribution of $y^TAy$ known in the case that $A$ is indefinite?
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0answers
21 views

Mix Design: Failure to predict response

I have performed a mixture design containing 3 terms and I have carried out 6 experiments needed to adjust a quadratic model. It fitted the data quite well: ...
3
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0answers
125 views

Quantiles of linear combination of independent $\chi^2_1$ random variables [duplicate]

I want to work out the quantiles of a linear combiation of chi square random variables. Suppose $\lambda_i \in \mathbb{R}$ for all $i \in \{1,2,\cdots,n\}$ and $Z = \sum_{i = 1}^n \lambda_iX_i$ and $...
0
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1answer
105 views

Calculate average slope in a quadratic

Let's say I have crop yield on y-axis and a measure of heat-stress on x-axis According to this graph, as heat increases, the yield also increases and after reaching a maximum (at heat = 0.67), the ...
1
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1answer
64 views

Modeling potentially unimodal data

My data: I surveyed for animal densities across an elevation gradient. Let's say I surveyed from 0 to 1000 meters elevation. My models (one for each species of interest): density ~ elevation + other ...
2
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0answers
83 views

How to show fitted curve for random effects?

I have a data set studying the difference pollen production among eight varities. The experiment was carried out in two locations, and pollen was collected and weighted once per week. The experiment ...
1
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1answer
282 views

Interaction between a categorical and a quadratic continuous variable

I have three main hypotheses: Independent variable $X_1$, which is a categorical variable of two levels (A and B), may have an effect on the response $Y$. Independent variable $X_2$, a continuous ...
0
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1answer
121 views

Quadratic model - how to test

For my research I have a hypothesis containing a categorical IV (positive vs negative article that the participants have to read) and a continuous moderator (ideology level of the participant). The x ...
1
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0answers
82 views

Non linear regression? Which model to use?

For my analysis I am predicting an effect like the following (the IV being 'ideology' on a continuous scale). I'm predicting a different effect for when it's low, middle or high. Unfortunately all I ...
4
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2answers
495 views

Interpreting interactions in a linear model vs quadratic model

I have a crop yield data collected across many locations for 1996-2006 period and a predictor measuring heat availability. I formulated a model like this; ...
2
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0answers
53 views

Interpretation: Mediation with a squared regression model (U-shape)

I did a mediation analysis with Person-Organization Fit as IV, Organizational Attraction as Mediator and Organizational Choice Intention as DV. As the regression assumption 'Linearity in the ...
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0answers
79 views

Interpretation of interaction in presence of squared terms

I am running a fixed effects model with two independent variables, their quadratic terms, and the interaction of the two variables. IV = b0 + b1*X + b2*Y + b3*X_sq + b4*Y_sq + b5*XY How do I ...
2
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0answers
76 views

Standardization of variables in Bayesian model

I'm running a model to understand the relationship between children education expenditures and income. I have three variables $y$ the response variable that represents the proportion of income spent ...
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1answer
79 views

Odd Behavior in Cutoff of Soft Margin SVM

In soft margin svm, we solve the following quadratic programming problem. $$ \text{maximize}\ \sum_{i=1}^N \alpha_i-\sum_{i=1}^N\sum_{j=1}^N\alpha_i\alpha_jy_iy_jX_i^tX_j,\\ \text{subject to}\ \sum_{i=...
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0answers
656 views

How can I interpret coefficients of quadratic and linear term?

It may be a basic statistic question for someone, but I'm struggling with this. I'm trying to interpret a regression analysis. Here is examples. ...
4
votes
3answers
162 views

Tails of products of random variables

Let $X$ be a non-negative random variable, and let $Y \sim \chi^2_n / n$ (so that $E(Y) = 1$). $X$ and $Y$ are independent. Note that $X$ and $X\cdot Y$ have the same mean, while $X\cdot Y$ has larger ...
0
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1answer
53 views

Sums of squares (Equality?)

Given the linear model Y=X$\beta$+e, How can i prove the following claim? $SS_{(e)}=SS_{(R)}+Y'Y$ I've done the math, and actually I think the true equality is: $SS_{(e)}=Y'Y-SS_{(R)}$ But I'm ...
0
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0answers
46 views

How to address regression across multiple timelines when trying to fit a quadratic term?

I have about 10,000 timelines, all describing the interactions between two individuals. Some of these timelines last for 5-10 event points, some last for about 80,000 event points. Equally, time ...
0
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0answers
122 views

Restrictions on residuals and coefficients in regression (DFA)

The problem is about Deterministic frontier model, a special case of regression where all the residuals are bound to be positive (non-negative). I have a set of values $PQ$ (x) and quantities $Q$ (y) ...
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0answers
2k views

Why include quadratic terms in interactions in lmer?

Can someone please clarify whether I need to include a quadratic term in interactions instead of just using the linear term? I have a mixed model with a logarithmized response variable and three ...
2
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1answer
148 views

Is there a linear/mixture function that can fit the Gartner hype curve?

The Gartner hype curve: is a branded graphical presentation developed and used by American information technology (IT) research and advisory firm Gartner for representing the maturity, adoption and ...