Buku

Introduction to Probability, Statistics & R

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This book provides a comprehensive and accessible introduction to probability theory, statistical methods, and practical data analysis using the R programming language. It begins by establishing the foundations of probability, including random variables, probability distributions, expectations, and key theoretical principles essential for understanding statistical inference. Building on these concepts, the book introduces descriptive statistics, estimation techniques, hypothesis testing, regression analysis, and other core statistical tools widely used in scientific research and data-driven decision-making.

Throughout the text, theoretical explanations are complemented by hands-on examples implemented in R, enabling readers to directly apply statistical techniques to real datasets. The book emphasizes conceptual understanding, reproducible workflows, and good programming practices, making it suitable for students and professionals who seek a balanced combination of theory and practical skills. By integrating probability, statistics, and R programming in a unified approach, this book provides a solid foundation for further study and real-world data analysis.

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Ketersediaan

B0002732.1

519.202462 SAH i

My Library (Rak Matematika)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

519.202462 SAH i

Penerbit

Switzerland : Springer International Publishing., 2024

Deskripsi Fisik

555 hal; illus; 24 cm

Bahasa

English

ISBN/ISSN

978-3-031-37864-5

Klasifikasi

519.202462

Tipe Isi

text

Tipe Media

unspecified

Tipe Pembawa

volume

Edisi

-

Subjek

Fundamental probability concepts
Statistical inference
Data analysis techniques
Introduction to R programming for statistical comp
Applications of statistics in scientific and appli
Mathematical foundations of probability and statis

Info Detail Spesifik

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Pernyataan Tanggungjawab

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