Pages that link to "Item:Q1570286"

The following pages link to Error bounds for asymptotic approximations of the linear discriminant function when the sample sizes and dimensionality are large (Q1570286):

Displaying 29 items.

• On Kolmogorov asymptotics of estimators of the misclassification error rate in linear discriminant analysis (Q369396) (← links)
• A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data (Q391949) (← links)
• An asymptotic approximation for EPMC in linear discriminant analysis based on two-step monotone missing samples (Q618149) (← links)
• Asymptotic expansions for the best linear discriminant functions (Q674577) (← links)
• Contributions to multivariate analysis by Professor Yasunori Fujikoshi (Q855899) (← links)
• Error bounds for asymptotic expansions of Wilks' lambda distribution (Q855902) (← links)
• On accuracy of approximations for location and scale mixtures (Q876836) (← links)
• Asymptotic results in canonical discriminant analysis when the dimension is large compared to the sample size (Q947247) (← links)
• Asymptotic properties of the EPMC for modified linear discriminant analysis when sample size and dimension are both large (Q974518) (← links)
• High-dimensional Edgeworth expansion of a test statistic on independence and its error bound (Q979234) (← links)
• Results in statistical discriminant analysis: A review of the former Soviet Union literature. (Q1427521) (← links)
• Asymptotic cut-off point in linear discriminant rule to adjust the misclassification probability for large dimensions (Q1695766) (← links)
• An optimal discriminant rule in the class of linear and quadratic discriminant functions for large dimension and samples (Q1766195) (← links)
• Computable error bounds for asymptotic approximations of the quadratic discriminant function (Q2041753) (← links)
• An asymptotic expansion for the distribution of Euclidean distance-based discriminant function in normal populations (Q2081740) (← links)
• Consistency of test-based method for selection of variables in high-dimensional two-group discriminant analysis (Q2329876) (← links)
• EPMC estimation in discriminant analysis when the dimension and sample sizes are large (Q2357389) (← links)
• Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model (Q2629860) (← links)
• Approximate interval estimation for EPMC for improved linear discriminant rule under high dimensional frame work (Q2831659) (← links)
• Asymptotic Expansion of the Null Distribution of LR Statistic for Multivariate Linear Hypothesis when the Dimension is Large (Q3155321) (← links)
• A simulation-approximation approach to sample size planning for high-dimensional classification studies (Q3305032) (← links)
• Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements (Q3385450) (← links)
• Asymptotic aproximations for EPMC’s of the linear and the quadratic discriminant functions when the sample sizes and the dimension are large (Q4258898) (← links)
• An approximation of the unconditional error rates of the sample linear discriminant function (Q4337042) (← links)
• High-dimensional asymptotic results for EPMCs of W- and Z- rules (Q5080997) (← links)
• High-dimensional Edgeworth expansion of the determinant of sample correlation matrix and its error bound (Q5086635) (← links)
• Approximation of misclassification probabilities in linear discriminant analysis based on repeated measurements (Q6067497) (← links)
• High-dimensional Edgeworth expansion of LR statistic for testing block circular symmetry covariance structure and its errors (Q6067515) (← links)
• Classification of repeated measurements using bias corrected Euclidean distance discriminant function (Q6548557) (← links)