/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/inference/ |
H A D | TTest.java | 54 * <code>sample2.</code> 62 * @param sample2 array of sample data values 68 double pairedT(double[] sample1, double[] sample2) argument 84 * <code>sample1</code> and <code>sample2.</code></p> 98 * @param sample2 array of sample data values 103 double pairedTTest(double[] sample1, double[] sample2) argument 108 * <code>sample2</code> is 0 in favor of the two-sided alternative that the 130 * @param sample2 array of sample data values 139 double[] sample2, 206 * @param sample2 arra 137 pairedTTest( double[] sample1, double[] sample2, double alpha) argument 210 homoscedasticT(double[] sample1, double[] sample2) argument 240 t(double[] sample1, double[] sample2) argument 488 tTest(double[] sample1, double[] sample2) argument 523 homoscedasticTTest( double[] sample1, double[] sample2) argument 577 tTest( double[] sample1, double[] sample2, double alpha) argument 633 homoscedasticTTest( double[] sample1, double[] sample2, double alpha) argument [all...] |
H A D | TTestImpl.java | 70 * <code>sample2.</code> 78 * @param sample2 array of sample data values 84 public double pairedT(double[] sample1, double[] sample2) argument 87 checkSampleData(sample2); 88 double meanDifference = StatUtils.meanDifference(sample1, sample2); 90 StatUtils.varianceDifference(sample1, sample2, meanDifference), 108 * <code>sample1</code> and <code>sample2.</code></p> 122 * @param sample2 array of sample data values 127 public double pairedTTest(double[] sample1, double[] sample2) argument 129 double meanDifference = StatUtils.meanDifference(sample1, sample2); 167 pairedTTest(double[] sample1, double[] sample2, double alpha) argument 251 homoscedasticT(double[] sample1, double[] sample2) argument 288 t(double[] sample1, double[] sample2) argument 571 tTest(double[] sample1, double[] sample2) argument 613 homoscedasticTTest(double[] sample1, double[] sample2) argument 675 tTest(double[] sample1, double[] sample2, double alpha) argument 733 homoscedasticTTest(double[] sample1, double[] sample2, double alpha) argument [all...] |
H A D | TestUtils.java | 158 public static double homoscedasticT(double[] sample1, double[] sample2) argument 160 return tTest.homoscedasticT(sample1, sample2); 175 public static boolean homoscedasticTTest(double[] sample1, double[] sample2, argument 178 return tTest. homoscedasticTTest(sample1, sample2, alpha); 184 public static double homoscedasticTTest(double[] sample1, double[] sample2) argument 186 return tTest.homoscedasticTTest(sample1, sample2); 201 public static double pairedT(double[] sample1, double[] sample2) argument 203 return tTest.pairedT(sample1, sample2); 209 public static boolean pairedTTest(double[] sample1, double[] sample2, argument 212 return tTest.pairedTTest(sample1, sample2, alph 218 pairedTTest(double[] sample1, double[] sample2) argument 242 t(double[] sample1, double[] sample2) argument 292 tTest(double[] sample1, double[] sample2, double alpha) argument 300 tTest(double[] sample1, double[] sample2) argument [all...] |
/external/icu/icu4j/main/tests/core/src/com/ibm/icu/dev/test/normalizer/ |
H A D | NormalizerRegressionTests.java | 43 String sample2 = "aaac\u0327"; 44 logln("Normalized: " + Normalizer.isNormalized(sample2, Normalizer.NFC, 0));
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/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
H A D | StatUtils.java | 558 * input arrays -- i.e., sum(sample1[i] - sample2[i]). 561 * @param sample2 the second array 566 public static double sumDifference(final double[] sample1, final double[] sample2) argument 569 if (n != sample2.length) { 571 LocalizedFormats.DIMENSIONS_MISMATCH_SIMPLE, n, sample2.length); 575 LocalizedFormats.INSUFFICIENT_DIMENSION, sample2.length, 1); 579 result += sample1[i] - sample2[i]; 586 * input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length. 589 * @param sample2 the second array 594 public static double meanDifference(final double[] sample1, final double[] sample2) argument 611 varianceDifference(final double[] sample1, final double[] sample2, double meanDifference) argument [all...] |
/external/bzip2/ |
H A D | Makefile | 59 ./bzip2 -2 < sample2.ref > sample2.rb2 62 ./bzip2 -d < sample2.bz2 > sample2.tst 65 cmp sample2.bz2 sample2.rb2 68 cmp sample2.tst sample2.ref 113 sample1.rb2 sample2.rb2 sample3.rb2 \ 114 sample1.tst sample2 [all...] |
/external/v8/test/cctest/ |
H A D | test-profile-generator.cc | 416 // aaa -> bbb -> ccc - sample2 424 TickSample sample2; local 425 sample2.pc = ToAddress(0x1925); 426 sample2.tos = ToAddress(0x1900); 427 sample2.stack[0] = ToAddress(0x1780); 428 sample2.stack[1] = ToAddress(0x10000); // non-existent. 429 sample2.stack[2] = ToAddress(0x1620); 430 sample2.frames_count = 3; 431 generator.RecordTickSample(sample2); 482 // (root)#1 -> aaa #2 -> bbb #4 -> ccc #5 - sample2 489 TickSample sample2; local [all...] |
/external/icu/icu4c/source/samples/ucnv/ |
H A D | convsamp.cpp | 678 const char *sample2 = "abc_def"; local 690 if(convsample_20_didSubstitute(sample2)) 836 const char *sample2 = "abc_def"; local 847 if(convsample_21_didSubstitute(sample2))
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/external/google-breakpad/src/testing/gtest/ |
H A D | CMakeLists.txt | 84 cxx_executable(sample2_unittest samples gtest_main samples/sample2.cc)
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/external/opencv/ml/src/ |
H A D | mlrtrees.cpp | 514 float CvRTrees::get_proximity( const CvMat* sample1, const CvMat* sample2, argument 526 trees[i]->predict( sample2, missing2 ) ? 1 : 0;
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/external/protobuf/gtest/ |
H A D | CMakeLists.txt | 186 cxx_executable(sample2_unittest samples gtest_main samples/sample2.cc)
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/external/opencv/ml/include/ |
H A D | ml.h | 984 virtual float get_proximity( const CvMat* sample1, const CvMat* sample2,
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