Esempio n. 1
0
        public static void TestEvenly()
        {
            double[] data = new double[100];

            for (int i = 0; i < data.Length; i++)
            {
                data[i] = Generator.EvenlyGenerate(0, 10);
            }

            double[] probability = new double[K];

            foreach (double z in data)
            {
                probability[(int)(z / (1.0d / K))]++;
            }

            Histogramma.Build1(probability);
            double expectation = GetExpectation(data);

            Console.WriteLine($"Равномерное n = 100, M = {expectation}");

            Console.WriteLine($"D = {GetDispersion(data, expectation)}");

            Console.WriteLine($"Вероятность по {K} карманам");
            foreach (double p in probability)
            {
                Console.Write($"{p / data.Length}   ");
            }
            Console.WriteLine();

            data = new double[10000];

            for (int i = 0; i < data.Length; i++)
            {
                data[i] = Generator.EvenlyGenerate(0, 10);
            }

            probability = new double[K];

            foreach (double z in data)
            {
                probability[(int)(z / (1.0d / K))]++;
            }

            expectation = GetExpectation(data);
            Console.WriteLine($"Равномерное n = 10000, M = {expectation}");

            Console.WriteLine($"D = {GetDispersion(data, expectation)}");

            Console.WriteLine($"Вероятность по {K} карманам");
            foreach (double p in probability)
            {
                Console.Write($"{p / data.Length}   ");
            }
            Console.WriteLine();
        }
Esempio n. 2
0
        static void Main(string[] args)
        {
            List <double> arr = new List <double>();

            for (int i = 0; i < 10000; i++)
            {
                arr.Add(Generator.EvenlyGenerate(0, 20));
            }
            //Histogramma.Build(arr);
            double[] arr1 = new double[] { 0.1, 0.2, 0.3, 0.5 };
            Histogramma.Build1(arr1);
        }