데이터 분석과 해석: R 통계학

권혁제 지음

박영사 2018년 03월 01일 출간 국내도서 : 2016년 09월 20일 출간

작품소개

책소개

[데이터 분석과 해석: R 통계학]은 통계학 이론에 바탕한 다양한 데이터의 분석과 해석에 대해 다룬 책이다. R을 활용한 데이터 사이언스, 계량경제 기초를 확립하는데 도움을 준다.

목차

<b>제 1 장 통계학의 주제 ·····························································································1</b>
1.1 통계학의 정의 _ 3
1.2 모집단과 표본 _ 4
1.3 기술통계학과 추측통계학 _ 7
1.4 자료의 측정유형 _ 9
1.5 통계프로그램의 이용 _ 16

<b>제 2 장 수집 데이터의 요약 ·················································································19</b>
2.1 도수분포표를 이용한 데이터의 요약 _ 21
2.2 그래프를 이용한 데이터의 요약 _ 33

<b>제 3 장 수집 데이터의 기술통계적 측정 ·························································· 41</b>
3.1 중심 위치의 측정 _ 44
3.2 분산의 측정 _ 54
3.3 비대칭성의 측정 _ 60
3.4 그룹화된 데이터의 중심위치와 분산의 측정 _ 76
3.5 표준편차에 관한 경험법칙 _ 85

<b>제 4 장 확률 ·········································································································91</b>
4.1 확률 개념 _ 93
4.2 주변확률과 조건확률 _ 97
4.3 베이즈 정리(Bayes theorem) _ 111

<b>제 5 장 확률분포 ·································································································117</b>
5.1 이산형 확률분포 _ 119
5.2 이항분포 _ 131
5.3 포아송 분포 _ 148
5.4 연속형 확률분포 _ 155
5.5 정규분포 _ 159
5.6 지수분포 _ 184

<b>제 6 장 표본분포 ·································································································191</b>
6.1 표본평균의 표본분포 _ 193
6.2 표본평균의 표준화 _ 201
6.3 표본비율의 표본분포 _ 209
6.4 표본비율의 표준화 _ 215

<b>제 7 장 단일 모집단의 추정과 가설검정 ························································ 223</b>
7.1 추정과 가설검정 _ 225
7.2 모평균의 추정 _ 235
7.3 모평균의 가설검정 _ 250
7.4 ? 분포 _ 284
7.5 모비율의 추정과 가설검정 _ 309
7.6 모분산의 추정과 가설검정 _ 328

<b>제 8 장 두 모집단의 비교 ··················································································337</b>
8.1 두 모집단의 독립성 _ 339
8.2 모평균의 차이에 대한 신뢰구간과 가설검정(두 표본이 독립적인 경우) _ 343
8.3 모평균 차이에 대한 신뢰구간과 가설검정 (두 표본이 종속적인 -짝을 이룬- 경우) _ 361
8.4 모비율의 차이에 대한 신뢰구간과 가설검정 _ 369
8.5 모분산 차이에 대한 가설검정 _ 376

<b>제 9 장 분산분석 ·································································································381</b>
9.1 1요인 분산분석 _ 383
9.2 다중비교 _ 392
9.3 난괴설계 _ 396
9.4 2요인 분산분석 _ 407

<b>제10장 단순회귀분석과 상관분석 ···································································· 423</b>
10.1 단순회귀분석 _ 425
10.2 회귀모형의 추정 _ 433
10.3 회귀모형의 적합성 검정 _ 442
10.4 회귀모형을 이용한 예측 _ 463
10.5 상관분석 _ 469

<b>제11장 다중회귀분석 ·························································································477</b>
11.1 다중회귀분석 _ 479
11.2 다중회귀모형의 추정 _ 480
11.3 다중회귀모형의 적합성 검정 _ 486
11.4 다중회귀모형을 이용한 예측 _ 495

<b>제12장 검정과 비모수 검정 ········································································· 501</b>
12.1 비모수 검정 _ 503
12.2 검정 _ 504
12.3 순위상관계수 _ 519
12.4 순위합 검정 _ 522
12.5 부호순위 검정 _ 530
12.6 순위분산분석(크루스칼-월리스 검정) _ 538

<b>찾아보기 _ 543</b>

책 속으로

Pen Paper Problem Practice Perfect Pleasure Peace

Patience and Persistence … and Consistency

Dance with R

FREE as the wind

감사하는 마음
기도하는 마음
사랑하는 마음

Nature
Let It Be…
ONE AND ALL

인물정보

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