Jupyter Notebook : Jupyter Notebook is a web-based interactive development environment for creating and sharing documents that contain live code, equations, visualizations, and narrative text. It is a powerful tool for data scientists, researchers, and developers to explore and analyze data, build and test algorithms, and share their findings with others. One example of using […]

J-shaped distribution : A J-shaped distribution is a type of probability distribution in which a small number of observations are much more frequent than the rest. This results in a shape that looks like a J when the data is plotted on a graph, with a long tail on one side and a short tail […]

Jonckheere-Terpstra test : The Jonckheere-Terpstra test is a non-parametric statistical test used to determine whether there is a monotonic trend in the median of a dependent variable as a function of an independent variable. A monotonic trend is a pattern in which the values of the dependent variable either consistently increase or consistently decrease as […]

Jonckheere’s k-sample test : Jonckheere’s k-sample test is a non-parametric statistical test used to compare the mean ranks of multiple samples. It is often used when the data does not meet the assumptions of parametric tests, such as normality or homogeneity of variance. One example of the use of Jonckheere’s test is to compare the […]

Jolly-Sebermodel : The Jolly-Seber model is a statistical method used in population ecology to estimate the size and abundance of a population over time. It is based on the capture-recapture technique, where individuals are captured, marked, and released back into the population, and then recaptured at a later time to estimate the population size. One […]

Joint distribution : Joint distribution refers to the probability distribution of two or more random variables. This means that the joint distribution describes the likelihood of each possible combination of values for the random variables. One example of a joint distribution is the probability distribution of the number of heads and tails in a series […]

Jittering : Jittering is a technique used in computer graphics and visualization to prevent objects from appearing as perfectly aligned or uniform. This can help create a more realistic and dynamic visual representation, as well as reduce the risk of spatial aliasing, which is the visual artifact of objects appearing to flicker or shimmer due […]

Jittered sampling : Jittered sampling is a method of sampling that is used to reduce the effects of spatial autocorrelation in the data. This is important because spatial autocorrelation can lead to biased results and incorrect conclusions in spatial data analysis. One example of jittered sampling is in a study of plant distribution in a […]

Jelinski-Moranda model : The Jelinski-Moranda model is a statistical model used in software reliability engineering. It is used to predict the failure rate of a software system over time. The model is based on the assumption that the failure rate of a software system follows a negative binomial distribution, which means that the number of […]

Jeffreys’s prior : Jeffreys’ prior is a method of assigning probabilities to different possible values of a parameter in a statistical model. It is based on the idea that the probabilities should be chosen in a way that is invariant to changes in the units of measurement of the parameter. For example, suppose we are […]