Exponential functions are typically considered continuous because they are defined for all real numbers and have a smooth curve. However, they can also be represented in a discrete form when evaluated at specific intervals or points, such as in the context of discrete-time models. In such cases, the function takes on values at discrete points rather than over a continuous range. Thus, while exponential functions are inherently continuous, they can be adapted to discrete scenarios.
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
It is a continuous variable. BUT as soon as you measure it, the limitations of your timing device make the observation a discrete variable - even if you can measure with an accuracy of a nanosecond.
Continuous data is data that can theoretically be any amount at all. There may be a maximum and minimum value, but all numbers in between are possible. For instance, the amount of time it takes to complete a task, might be 13.4864 seconds. This makes the time continuous data. Discrete is data that can only be set amounts. For instance, how much money someone has, or how many times they've been to the cinema. You cannot have 13.4864 cents, or have visited the cinema 7.33 times. This is a discrete value.
A continuous variable which is made discrete when recorded.
it is a continuous random variable
It is discrete even though time itself is continuous.
Date is a discrete variable whereas date/time would be continuous.
time to learn a song for 4 hours, is this discrete or continuous data set?
Continuous. Discrete variables are only expressed as integer values, whereas continuous is, as its name suggests, continuous.
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
continuos
A continuous signal is one that is measured over a time axis and has a value defined at every instance. The real world is continuous (ie. analog). A discrete signal is one that is defined at integers, and thus is undefined in between samples (digital is an example of a discrete signal, but discrete does not have to imply digital). Instead of a time axis, a discrete signal is gathered over a sampling axis. Discrete signals are usually denoted by x[k] or x[n], a continuous signal is x(t) for example. Laplace transforms are used for continuous analysis, Z-transforms are used for discrete analysis. Fourier transforms can be used for either.
how is time series applied in the business world today
Discrete simulation systems records events at regular time intervals when a simulation component generates output. Continuous simulation systems record events on a nearly continuous basis, using a relatively small time unit between event recordings. Discrete simulation is usually faster while still providing an accurate picture of the system's behavior.
its continuous because if it was discrete i could measure it right now but its actually over time. For example: if my doctor wants to weigh me ,he will weigh me once and then weigh me again in like 1 week or so
An analog signal is a continuous signal that contains time-varying quantities. Unlike a digital signal, which has a discrete value at each sampling point, an analog signal has constant fluctuations. netonplus.com