mean += (value - mean) / (index + 1);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);
      }
    }
    return mean;
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Arithmetic_mean">arithmetic mean</a> of the
   * values. The count must be non-zero.
   *
   * <p>The definition of the mean is the same as {@link Stats#mean}.
   *

import java.lang.reflect.TypeVariable;
import java.util.Map;

import org.codelibs.core.beans.BeanDesc;
import org.codelibs.core.beans.ConstructorDesc;
import org.codelibs.core.beans.FieldDesc;
import org.codelibs.core.beans.MethodDesc;
import org.codelibs.core.beans.ParameterizedClassDesc;
import org.codelibs.core.beans.PropertyDesc;
import org.codelibs.core.beans.impl.ParameterizedClassDescImpl;
import org.codelibs.core.collection.Indexed;

/**

   */
  @Deprecated
  public static double mean(long... values) {
    checkArgument(values.length > 0, "Cannot take mean of 0 values");
    long count = 1;
    double mean = values[0];
    for (int index = 1; index < values.length; ++index) {
      count++;
      // Art of Computer Programming vol. 2, Knuth, 4.2.2, (15)
      mean += (values[index] - mean) / count;
    }
    return mean;
  }

  /**

      }
    } else {
      count++;
      if (isFinite(value) && isFinite(mean)) {
        // Art of Computer Programming vol. 2, Knuth, 4.2.2, (15) and (16)
        double delta = value - mean;
        mean += delta / count;
        sumOfSquaresOfDeltas += delta * (value - mean);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);
        sumOfSquaresOfDeltas = NaN;
      }
      min = Math.min(min, value);

        accumulatorByAddAllStats.addAll(Stats.of(value));
      }
      double mean = accumulator.mean();
      double meanByAddAllStats = accumulatorByAddAllStats.mean();
      if (values.hasAnyNaN()) {
        assertWithMessage("mean of %s", values).that(mean).isNaN();
        assertWithMessage("mean by addAll(Stats) of %s", values).that(meanByAddAllStats).isNaN();

 */
package org.codelibs.core.beans.impl;

import static org.codelibs.core.misc.AssertionUtil.assertArgumentArrayIndex;
import static org.codelibs.core.misc.AssertionUtil.assertArgumentNotNull;

import java.lang.reflect.Method;
import java.util.Collection;
import java.util.Map;

import org.codelibs.core.beans.BeanDesc;
import org.codelibs.core.beans.MethodDesc;

  }

  @GwtIncompatible // DoubleMath.mean
  @SuppressWarnings("deprecation") // test of deprecated method
  public void testMean_intVarargs() {
    assertThat(DoubleMath.mean(11, -22, 44, -88)).isWithin(1.0e-10).of(-13.75);
    assertThat(DoubleMath.mean(11)).isWithin(1.0e-10).of(11.0);
  }

  @GwtIncompatible // DoubleMath.mean

 */
package org.codelibs.core.beans.impl;

import static org.codelibs.core.misc.AssertionUtil.assertArgumentArrayIndex;
import static org.codelibs.core.misc.AssertionUtil.assertArgumentNotNull;

import java.lang.reflect.Constructor;
import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;
import java.util.Collection;
import java.util.Map;

import org.codelibs.core.beans.BeanDesc;

import java.net.URL;
import java.sql.Timestamp;
import java.util.Calendar;
import java.util.Date;

import org.codelibs.core.beans.BeanDesc;
import org.codelibs.core.beans.PropertyDesc;
import org.codelibs.core.beans.factory.BeanDescFactory;
import org.codelibs.core.beans.impl.sub.MogeBean;
import org.codelibs.core.beans.impl.sub.MogeBeanFactory;
import org.codelibs.core.exception.IllegalPropertyRuntimeException;
import org.junit.Test;

/**

        twoValuesAccumulator.xStats().mean(),
        twoValuesAccumulator.yStats().mean(),
        twoValuesAccumulator.xStats().populationVariance(),
        twoValuesAccumulator.populationCovariance());
    assertDiagonalLinearTransformation(
        twoValuesAccumulatorByAddAllPartitionedPairedStats.leastSquaresFit(),
        twoValuesAccumulatorByAddAllPartitionedPairedStats.xStats().mean(),