/**
 * Paired statistical tests for comparing two methods
 */
/**
 * Paired t-test for comparing two methods.
 *
 * Tests whether the mean difference between paired observations is significantly
 * different from zero. Assumes differences are normally distributed.
 *
 * @param method1Results - Results from method 1 across experiments
 * @param method2Results - Results from method 2 across experiments (same length as method1Results)
 * @param alpha - Significance level (default: 0.05)
 * @returns p-value, t-statistic, and whether result is significant
 *
 * @example
 * ```typescript
 * const miScores = [0.85, 0.82, 0.88, 0.90, 0.87];
 * const baselineScores = [0.65, 0.70, 0.68, 0.72, 0.69];
 * const result = pairedTTest(miScores, baselineScores);
 * console.log(result.pValue); // e.g., 0.001 (significant)
 * console.log(result.significant); // true
 * ```
 */
export declare const pairedTTest: (method1Results: number[], method2Results: number[], alpha?: number) => {
    pValue: number;
    tStatistic: number;
    significant: boolean;
};
/**
 * Wilcoxon signed-rank test (non-parametric alternative to paired t-test).
 *
 * Tests whether the distribution of differences is symmetric about zero.
 * Does NOT assume normal distribution, making it more robust for small samples.
 *
 * @param method1Results - Results from method 1 across experiments
 * @param method2Results - Results from method 2 across experiments
 * @param alpha - Significance level (default: 0.05)
 * @returns p-value, test statistic (W), and significance
 *
 * @example
 * ```typescript
 * const miScores = [0.85, 0.82, 0.88, 0.90, 0.87];
 * const baselineScores = [0.65, 0.70, 0.68, 0.72, 0.69];
 * const result = wilcoxonSignedRank(miScores, baselineScores);
 * console.log(result.pValue); // e.g., 0.031 (significant at α=0.05)
 * ```
 */
export declare const wilcoxonSignedRank: (method1Results: number[], method2Results: number[], alpha?: number) => {
    pValue: number;
    statistic: number;
    significant: boolean;
};
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