@@ -162,9 +162,8 @@ public static <T> T[] sample(T[] source, double p) {
162162 * given source array. All n choose k combinations are equally
163163 * likely, where n is the length of the source array.</p>
164164 *
165- * <p>This method chooses among the samplePool,
166- * sampleReservoir, and sampleInsertion
167- * methods based on the values of n and k.</p>
165+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
166+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
168167 *
169168 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
170169 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -195,9 +194,8 @@ public static int[] sample(int[] source, int k, int[] target) {
195194 * given source array. All n choose k combinations are equally
196195 * likely, where n is the length of the source array.</p>
197196 *
198- * <p>This method chooses among the samplePool,
199- * sampleReservoir, and sampleInsertion
200- * methods based on the values of n and k.</p>
197+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
198+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
201199 *
202200 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
203201 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -228,9 +226,8 @@ public static long[] sample(long[] source, int k, long[] target) {
228226 * given source array. All n choose k combinations are equally
229227 * likely, where n is the length of the source array.</p>
230228 *
231- * <p>This method chooses among the samplePool,
232- * sampleReservoir, and sampleInsertion
233- * methods based on the values of n and k.</p>
229+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
230+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
234231 *
235232 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
236233 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -261,9 +258,8 @@ public static short[] sample(short[] source, int k, short[] target) {
261258 * given source array. All n choose k combinations are equally
262259 * likely, where n is the length of the source array.</p>
263260 *
264- * <p>This method chooses among the samplePool,
265- * sampleReservoir, and sampleInsertion
266- * methods based on the values of n and k.</p>
261+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
262+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
267263 *
268264 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
269265 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -294,9 +290,8 @@ public static byte[] sample(byte[] source, int k, byte[] target) {
294290 * given source array. All n choose k combinations are equally
295291 * likely, where n is the length of the source array.</p>
296292 *
297- * <p>This method chooses among the samplePool,
298- * sampleReservoir, and sampleInsertion
299- * methods based on the values of n and k.</p>
293+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
294+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
300295 *
301296 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
302297 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -327,9 +322,8 @@ public static char[] sample(char[] source, int k, char[] target) {
327322 * given source String. All n choose k combinations are equally
328323 * likely, where n is the length of the source String.</p>
329324 *
330- * <p>This method chooses among the samplePool,
331- * sampleReservoir, and sampleInsertion
332- * methods based on the values of n and k.</p>
325+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
326+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
333327 *
334328 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
335329 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -360,9 +354,8 @@ public static char[] sample(String source, int k, char[] target) {
360354 * given source array. All n choose k combinations are equally
361355 * likely, where n is the length of the source array.</p>
362356 *
363- * <p>This method chooses among the samplePool,
364- * sampleReservoir, and sampleInsertion
365- * methods based on the values of n and k.</p>
357+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
358+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
366359 *
367360 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
368361 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -393,9 +386,8 @@ public static double[] sample(double[] source, int k, double[] target) {
393386 * given source array. All n choose k combinations are equally
394387 * likely, where n is the length of the source array.</p>
395388 *
396- * <p>This method chooses among the samplePool,
397- * sampleReservoir, and sampleInsertion
398- * methods based on the values of n and k.</p>
389+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
390+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
399391 *
400392 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
401393 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
@@ -426,9 +418,8 @@ public static float[] sample(float[] source, int k, float[] target) {
426418 * given source array. All n choose k combinations are equally
427419 * likely, where n is the length of the source array.</p>
428420 *
429- * <p>This method chooses among the samplePool,
430- * sampleReservoir, and sampleInsertion
431- * methods based on the values of n and k.</p>
421+ * <p>This method chooses among the {@link SequencePoolSampler}, {@link SequenceReservoirSampler},
422+ * and {@link SequenceInsertionSampler} classes based on the values of n and k.</p>
432423 *
433424 * <p>This approach combining reservoir sampling, pool sampling, and insertion sampling
434425 * was described in: Vincent A. Cicirello. 2022. <a href="https://www.cicirello.org/publications/applsci-12-05506.pdf">Cycle
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