Adjectives For PDF
Discover the most popular adjectives for describing pdf, complete with example sentences to guide your usage.
Updated on March 16, 2024
In the digital age, the PDF format stands as a beacon of document sharing and archiving, but the adjectives preceding 'PDF' unfold a world of nuanced interpretations. From the joint PDF, emphasizing collaboration or linkages, to the normal PDF, hinting at standard distributions in statistical contexts. The posterior PDF dives deeper into Bayesian analysis, contrasting with the prior PDF's foundational beliefs. Meanwhile, the conditional PDF and the gaussian PDF point to specific mathematical conditions and distributions, revealing the versatile applications of PDFs. The choice of adjective not only describes the PDF but also the intention behind its use or the context it operates in. Dive into the full spectrum of adjectives associated with 'PDF' to uncover the layers of meaning each combination can provide.
| joint | The joint pdf of X and Y is given by f(x,y). |
| normal | The normal pdf is a bell-shaped curve that is symmetric around the mean. |
| posterior | The posterior pdf is proportional to the prior pdf multiplied by the likelihood. |
| gaussian | The gaussian pdf is a probability distribution function that is used to model the normal distribution. |
| conditional | The conditional pdf of X given Y can be written as f(X | Y = y). |
| prior | The prior pdf is assumed to be a normal distribution. |
| marginal | The marginal pdf of the joint pdf is the pdf of one variable integrated over the other variable. |
| uniform | The uniform pdf is a continuous probability distribution that has a constant value over the specified interval. |
| exponential | The exponential pdf is given by f(x) = λe^(-λx), where λ is the rate parameter. |
| corresponding | To estimate the corresponding pdf the density of the basic variables must be known. |
| lognormal | |
| multivariate | The multivariate pdf is a complex mathematical expression that describes the probability distribution of a random vector. |
| continuous | The continuous pdf of a random variable X is given by f(x) = (1/sqrt(2*pi*sigma^2)) * exp(-(x-mu)^2/(2*sigma^2)) for -∞ < x < ∞. |
| dimensional | The research shows that the presence of the double bonds in the molecular structure leads to improved dimensional pdf |
| standard | The standard pdf is widely used for document sharing |
| single | I need a single pdf of the document that has all 3 pages. |
| original | I accidentally deleted the original pdf of this document. |
| true | This statistical method is based on the true pdf that generates the data. |
| discrete | The discrete pdf of a random variable X is given by P(X = x) = p(x) for x = x1, x2, ..., xn. |
| bivariate | The bivariate pdf calculates the probability density at each point in the joint space of two random variables. |
| int | int pdf is used for printing documents into pdf format |
| triangular | |
| empirical | We used the empirical pdf of the observed data to estimate the parameters of the model. |
| priori | The priori pdf is a probability distribution that is derived from first principles. |
| page | I opened the page pdf in my browser. |
| theoretical | Researchers found major drawbacks in using the empirical pdf as compared to the theoretical pdf |
| exact | We need the exact pdf for a test on Tuesday. |
| posteriori | The posteriori pdf is a conditional probability distribution that is used to estimate the probability of an event occurring given that some other event has already occurred. |
| ideal | The ideal pdf is small, high-quality, and accessible. |
| predictive | The predictive pdf can be used to estimate the probability of future events. |
| initial | An initial pdf may be of direct benefit to the recipient. |
| final | Please send me the final pdf when it is ready. |
| downloadable | This is a downloadable pdf |
| actual | I need the actual pdf file, not just a link. |
| entire | I have attached the entire pdf for your reference. |
| binomial | The binomial pdf is given by the formula (n! / (k! * (n-k)!)) * p^k * (1-p)^(n-k). |
| appropriate | Attach the appropriate pdf to complete the online form. |
| complete | I have finally acquired the complete pdf of the book that I had been searching for |
| point | Support the proposition that a point pdf can be opposed by linking it to an alternative thesis. |
| valid | This is a valid pdf document. |
| multipage | I need to download the multipage pdf file |
| negative | The negative pdf was not able to be loaded. |
| normalized | The normalized pdf is a probability distribution function that is scaled so that the integral of the function over the entire real line is equal to one. |
| characteristic | The characteristic pdf of a random variable is a function that gives the probability of the variable taking on a given value. |
| unknown | In the unknown pdf there is a hidden treasure waiting to be discovered. |
| experimental | The experimental pdf is available for download. |
| rectangular | The rectangular pdf is a type of probability distribution with a constant value within a specified domain. |
| symmetric | |
| assumed | |
| univariate | The univariate pdf of a random variable X is given by f(x). |
| arbitrary | The random variable has an arbitrary pdf |
| stationary | The stationary pdf of a random variable is the pdf of the random variable at a given time. |
| resultant | The organization published the resultant pdf for global distribution. |
| rician | The rician pdf is a statistical distribution that is commonly used to model the probability distribution of the amplitude of a signal that has been corrupted by additive white Gaussian noise. |
| order | Please send me the order pdf for my reference. |
| select | |
| weibull | The Weibull pdf is a continuous probability distribution that is used to model the distribution of failure times. |
| above | The above pdf contains additional information. |
| interactive | You can use this interactive pdf to learn more about the project. |
| laplacian | A Laplacian pdf is a probability distribution that describes the distribution of the distance from a given point to the nearest boundary. |
| typical | Most of the text present in typical pdf files could be freely highlighted with the pre-installed PDF readers, which raise data privacy issues. |
| searchable | This searchable pdf document is easy to use. |
| overall | Check that the overall pdf file size is not too large (no more than say 25 MB) |
| void | |
| member | Please find the attached member pdf for your reference. |
| bimodal | |
| digital | I need to download the digital pdf of the book. |
| measured | |
| create | Export your design as a PDF by clicking 'Create PDF'. |
| square | The square pdf contained statistical data on student performance. |
| click | Please click pdf to download the document. |
| time | I can't open the time pdf without the password. |
| unconditional | The standard normal distribution has an unconditional pdf of (1/√(2π)) * e^(-x²/2). |
| multidimensional | The research team developed a multidimensional pdf to represent the family of probability distributions. |
| correct | Please send correct pdf file. |
| flat | I need to send this flat pdf by email. |
| parameter | The parameter pdf of a normal distribution is bell-shaped. |
| molecular | The molecular pdf will be generated soon. |
Click on a letter to browse words starting with that letter