4/15/26, 3:55 PM Isye 6501 Final exam Flashcards | Quizlet
Isye 6501 Final exam
5.0 (3 reviews)
Save
Students also studied
Flashcard sets Study guides
Final Exam MGT 8803 Financial Accounting ISYE 6414 - Midterm 1 Prep OMSA
49 terms 119 terms 194 terms 94 terms
trinh_monica Preview mmcglothin Preview Asel_Baidyldaeva Preview Previe
Terms in this set (323)
1-norm Similar to rectilinear distance; measures the straight-line length of a vector from
the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is
square root(|𝑧1|+|𝑧2|+⋯+|𝑧𝑚| = |𝑧1|+|𝑧2|+⋯+|𝑧| = Σm over i=1 |𝑧𝑖|
A/B Testing testing two alternatives to see which one performs better
2-norm Similar to Euclidian distance; measures the straight-line length of a vector from the
origin. If z=(z1,z2,...,zm) is a vector in an 𝑚-dimensional space, then its 2-norm is the
same as 1-norm but everything is squared= square root(Σm over i=1 (|𝑧𝑖|)^2)
Accuracy Fraction of data points correctly classified by a model; equal to TP+TN /
TP+FP+TN+FN
Action In ARENA, something that is done to an entity.
Additive Seasonality Seasonal effect that is added to a baseline value (for example, "the temperature in
June is 10 degrees above the annual baseline").
Adjusted R-squared Variant of R2 that encourages simpler models by penalizing the use of too many
variables.
AIC Akaike information criterion- Model selection technique that trades off between
model fit and model complexity. When comparing models, the model with lower
AIC is preferred. Generally penalizes complexity less than BIC.
Algorithm Step-by-step procedure designed to carry out a task.
https://quizlet.com/463172471/isye-6501-final-exam-flash-cards/ 1/7
, 4/15/26, 3:55 PM Isye 6501 Final exam Flashcards | Quizlet
Analysis of Variance/ANOVA Statistical method for dividing the variation in observations among different
sources.
Approximate dynamic program Dynamic programming model where the value functions are approximated.
Arc Connection between two nodes/vertices in a network. In a network model, there
is a variable for each arc, equal to the amount of flow on the arc, and (optionally)
a capacity constraint on the arc's flow. Also called an edge.
Area under the curve (AUC) Area under the ROC curve; an estimate of the classification model's accuracy.
Also called concordance index.
ARIMA Autoregressive integrated moving average.
Arrival Rate Expected number of arrivals of people, things, etc. per unit time -- for example,
the expected number of truck deliveries per hour to a warehouse.
Assignment Problem Network optimization model with two sets of nodes, that finds the best way to
assign each node in one set to each node in the other set.
Attribute A characteristic or measurement - for example, a person's height or the color of a
car. Generally interchangeable with "feature", and often with "covariate" or
"predictor". In the standard tabular format, a column of data.
Autoregression Regression technique using past values of time series data as predictors of future
values.
Autoregressive integrated moving average (ARIMA) Time series model that uses differences between observations when data is
nonstationary. Also called Box-Jenkins.
Backward elimination Variable selection process that starts with all variables and then iteratively
removes the least-immediately-relevant variables from the model.
Balanced Design Set of combinations of factor values across multiple factors, that has the same
number of runs for all combinations of levels of one or more factors.
Balking An entity arrives to the queue, sees the size of the line (or some other attribute),
and decides to leave the system.
Bayes' theorem/Bayes' rule Fundamental rule of conditional probability: 𝑃(𝐴|𝐵)=𝑃(𝐵|𝐴)*𝑃(𝐴) / 𝑃(𝐵)
Bayesian Information criterion (BIC) Model selection technique that trades off model fit and model complexity. When
comparing models, the model with lower BIC is preferred. Generally penalizes
complexity more than AIC.
Bayesian Regression Regression model that incorporates estimates of how coefficients and error are
distributed.
Bellman's Equation Equation used in dynamic programming that ensures optimality of a solution.
https://quizlet.com/463172471/isye-6501-final-exam-flash-cards/ 2/7
Isye 6501 Final exam
5.0 (3 reviews)
Save
Students also studied
Flashcard sets Study guides
Final Exam MGT 8803 Financial Accounting ISYE 6414 - Midterm 1 Prep OMSA
49 terms 119 terms 194 terms 94 terms
trinh_monica Preview mmcglothin Preview Asel_Baidyldaeva Preview Previe
Terms in this set (323)
1-norm Similar to rectilinear distance; measures the straight-line length of a vector from
the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is
square root(|𝑧1|+|𝑧2|+⋯+|𝑧𝑚| = |𝑧1|+|𝑧2|+⋯+|𝑧| = Σm over i=1 |𝑧𝑖|
A/B Testing testing two alternatives to see which one performs better
2-norm Similar to Euclidian distance; measures the straight-line length of a vector from the
origin. If z=(z1,z2,...,zm) is a vector in an 𝑚-dimensional space, then its 2-norm is the
same as 1-norm but everything is squared= square root(Σm over i=1 (|𝑧𝑖|)^2)
Accuracy Fraction of data points correctly classified by a model; equal to TP+TN /
TP+FP+TN+FN
Action In ARENA, something that is done to an entity.
Additive Seasonality Seasonal effect that is added to a baseline value (for example, "the temperature in
June is 10 degrees above the annual baseline").
Adjusted R-squared Variant of R2 that encourages simpler models by penalizing the use of too many
variables.
AIC Akaike information criterion- Model selection technique that trades off between
model fit and model complexity. When comparing models, the model with lower
AIC is preferred. Generally penalizes complexity less than BIC.
Algorithm Step-by-step procedure designed to carry out a task.
https://quizlet.com/463172471/isye-6501-final-exam-flash-cards/ 1/7
, 4/15/26, 3:55 PM Isye 6501 Final exam Flashcards | Quizlet
Analysis of Variance/ANOVA Statistical method for dividing the variation in observations among different
sources.
Approximate dynamic program Dynamic programming model where the value functions are approximated.
Arc Connection between two nodes/vertices in a network. In a network model, there
is a variable for each arc, equal to the amount of flow on the arc, and (optionally)
a capacity constraint on the arc's flow. Also called an edge.
Area under the curve (AUC) Area under the ROC curve; an estimate of the classification model's accuracy.
Also called concordance index.
ARIMA Autoregressive integrated moving average.
Arrival Rate Expected number of arrivals of people, things, etc. per unit time -- for example,
the expected number of truck deliveries per hour to a warehouse.
Assignment Problem Network optimization model with two sets of nodes, that finds the best way to
assign each node in one set to each node in the other set.
Attribute A characteristic or measurement - for example, a person's height or the color of a
car. Generally interchangeable with "feature", and often with "covariate" or
"predictor". In the standard tabular format, a column of data.
Autoregression Regression technique using past values of time series data as predictors of future
values.
Autoregressive integrated moving average (ARIMA) Time series model that uses differences between observations when data is
nonstationary. Also called Box-Jenkins.
Backward elimination Variable selection process that starts with all variables and then iteratively
removes the least-immediately-relevant variables from the model.
Balanced Design Set of combinations of factor values across multiple factors, that has the same
number of runs for all combinations of levels of one or more factors.
Balking An entity arrives to the queue, sees the size of the line (or some other attribute),
and decides to leave the system.
Bayes' theorem/Bayes' rule Fundamental rule of conditional probability: 𝑃(𝐴|𝐵)=𝑃(𝐵|𝐴)*𝑃(𝐴) / 𝑃(𝐵)
Bayesian Information criterion (BIC) Model selection technique that trades off model fit and model complexity. When
comparing models, the model with lower BIC is preferred. Generally penalizes
complexity more than AIC.
Bayesian Regression Regression model that incorporates estimates of how coefficients and error are
distributed.
Bellman's Equation Equation used in dynamic programming that ensures optimality of a solution.
https://quizlet.com/463172471/isye-6501-final-exam-flash-cards/ 2/7
