STATISTIK JAMLASH VA GURUHLASH: NAZARIYA VA AMALIYOT
https://doi.org/10.5281/zenodo.14955855
Abstract
Mazkur ilmiy maqola statistik jamlash va guruhlash metodlariga oid tahlillarni taqdim etadi. Ushbu metodlar ma’lumotlarni tahlil qilishda samarali vositalar bo‘lib, ular katta ma’lumotlar to‘plamlarini soddalashtirish va ular asosida qarorlar qabul qilishni osonlashtiradi. Jamlash usuli ma’lumotlarni o‘rtacha qiymatlar, yig‘indilar yoki dispersiyalar orqali umumlashtirishni o‘z ichiga olsa, guruhlash metodlari ma’lumotlarni sinflar yoki kategoriyalar bo‘yicha tasniflashga qaratilgan. Ushbu maqola har ikki metodning nazariy asoslari, afzalliklari va kamchiliklarini ko‘rib chiqadi va ularning ilmiy va amaliy sohalardagi qo‘llanilishini tahlil qiladi. Statistik jamlash va guruhlashning iqtisodiyot, ijtimoiyot va tibbiyot kabi sohalarda qanday qo‘llanilishi misollar orqali ko‘rsatilgan.
References
Wasserman, L. (2004). All of Statistics: A Concise Course in Statistical Inference. Springer.
Moore, D. S., McCabe, G. P., & Craig, B. A. (2017). Introduction to the Practice of Statistics. 9th Edition. W. H. Freeman and Company.
Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.
Everitt, B. S., & Hothorn, T. (2011). An Introduction to Applied Multivariate Analysis with R. Springer.
Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.
Freedman, D., Pisani, R., & Purves, R. (2007). Statistics. 4th Edition. W. W. Norton & Company.
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