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Forecasting: Principles and Practice 単語帳 英語(89)

Last updated at Posted at 2022-02-08

Forecasting: Principles and Practice (3rd ed)
Rob J Hyndman and George Athanasopoulos
Monash University, Australia
https://otexts.com/fpp3/
https://www.youtube.com/watch?v=7TglVxNgbKQ

Hyndman, R.J., & Athanasopoulos, G. (2021) Forecasting: principles and practice, 3rd edition, OTexts: Melbourne, Australia. OTexts.com/fpp3. Accessed on 20220208

This online version of the book was last updated on 4 February 2022.
The print version of the book (available from Amazon) was last updated on 31 May 2021.

Forecasting: Principles and Practice, Rob J Hyndman and George Athanasopoulos
https://qiita.com/kaizen_nagoya/items/befa7da46a7be8e7ffe5

単語帳

word count
the 7055
of 2663
t 2193
a 2141
to 1984
and 1864
in 1842
is 1728
for 1456
y 1232
model 1028
data 950
are 939
we 866
forecasts 813
be 761
series 710
that 684
with 652
this 637
time 614
as 607
forecast 547
forecasting 544
from 516
h 506
can 479
by 473
on 467
it 446
seasonal 445
an 425
x 398
arima 396
figure 395
using 390
will 386
q 362
not 336
s 329
trend 318
values 314
or 304
models 299
if 298
k 285
method 284
m 283
example 282
r 280
these 278
have 277
e 253
each 252
use 250
which 248
p 247
b 233
all 228
dbl 225
one 224
us 222
when 217
fit 216
residuals 216
regression 212
there 211
more 210
used 209
australian 208
j 205
ets 202
value 198
at 197
d 187
set 187
so 182
methods 181
also 178
then 178
prediction 176
year 176
where 174
first 172
production 171
test 169
but 167
level 164
than 164
some 160
function 158
number 157
mean 155
may 154
other 154
australia 152
between 149
g 149
intervals 148
c 147
two 147
has 145
you 145
plot 143
fitted 142
n 142
they 142
observations 140
state 139
section 137
step 137
variable 137
errors 134
i 134
quarterly 134
variables 130
filter 129
new 129
period 129
total 129
demand 128
doi 128
linear 128
component 127
shows 127
average 126
error 126
accuracy 124
decomposition 124
future 122
google 122
labs 122
autoplot 121
smoothing 121
chr 120
different 119
estimated 119
title 119
seasonality 117
acf 116
do 116
order 115
training 114
na 113
tourism 113
change 112
no 112
daily 111
same 110
stl 110
years 110
ve 109
how 108
over 108
sales 108
any 107
shown 105
because 104
only 103
predictors 103
chapter 102
information 101
monthly 101
approach 100
applied 98
beer 98
non 97
retail 97
should 96
case 95
consumption 95
month 95
what 95
aus 93
last 93
based 92
features 92
ma 92
tsibble 92
close 91
such 91
w 91
adjusted 90
log 90
most 89
stock 89
journal 88
quarter 88
simple 88
bottom 87
exponential 87
parameters 86
possible 86
useful 86
been 85
lag 84
need 84
hyndman 83
predictor 83
stationary 83
trips 83
equation 82
changes 81
estimate 81
noise 81
following 80
many 80
was 80
white 80
aicc 79
book 79
expenditure 79
given 79
population 79
process 79
obtained 78
however 77
often 77
sample 77
season 77
observation 76
available 75
best 75
both 75
cement 75
components 75
electricity 75
point 75
price 75
statistical 75
coefficients 74
large 73
line 73
does 72
your 72
discussed 71
employment 71
exports 71
fc 70
temperature 70
cycle 69
plots 69
up 69
box 68
economy 68
goog 68
seasonally 68
compute 67
day 67
while 67
multiplicative 66
here 65
table 65
type 65
usually 65
per 64
see 64
difference 63
income 63
four 62
holiday 62
next 62
about 61
international 61
select 61
terms 61
fourier 60
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south 60
sum 60
their 60
variance 60
additive 59
analysis 59
base 59
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naive 59
states 59
term 59
var 59
key 58
moving 58
patterns 58
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show 58
three 58
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f 57
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zero 57
well 56
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aggregated 55
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distribution 55
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historical 55
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top 55
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bibliography 54
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pattern 54
amazon 53
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prison 51
structure 51
way 51
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generate 50
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times 50
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al 49
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et 49
gdp 49
prophet 49
colour 48
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aes 47
matrix 47
measures 47
much 47
periods 47
take 47
weekly 47
above 46
against 46
constant 46
date 46
geom 46
long 46
out 46
rmse 46
several 46
ahead 45
ar 45
cost 45
dummy 45
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setting 45
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domestic 44
group 44
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relationship 44
tslm 44
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fable 42
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our 42
random 42
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scale 42
always 41
elec 41
package 41
panel 41
part 41
rows 41
act 40
business 40
code 40
common 40
corresponding 40
dynamic 40
even 40
parameter 40
standard 40
victoria 40
adjustments 39
athanasopoulos 39
considered 39
examples 39
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generated 39
include 39
measure 39
now 39
personal 39
product 39
specified 39
TRUE 39
further 38
grouped 38
multiple 38
selected 38
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co 37
coherent 37
contains 37
could 37
damped 37
employed 37
included 37
jan 37
pacf 37
pdq 37
recent 37
after 36
aggregate 36
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closing 36
down 36
ed 36
equal 36
give 36
known 36
positive 36
practice 36
sometimes 36
weighted 36
correlation 35
effects 35
few 35
global 35
left 35
months 35
numbers 35
overnight 35
squared 35
allow 34
another 34
being 34
below 34
called 34
cases 34
column 34
cross 34
introduced 34
levels 34
summarise 34
write 34
across 33
along 33
assume 33
coefficient 33
equivalent 33
gender 33
like 33
pbs 33
prices 33
right 33
therefore 33
aggregation 32
approaches 32
check 32
days 32
five 32
longer 32
plotted 32
whether 32
actual 31
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computed 31
cox 31
end 31
ggplot 31
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l 31
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lead 30
mase 30
mint 30
second 30
sets 30
statistics 30
those 30
very 30
accurate 29
alternative 29
delphi 29
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estimates 29
hand 29
holidays 29
hourly 29
initial 29
maximum 29
normally 29
procedure 29
provides 29
score 29
trends 29
advertising 28
automatically 28
behaviour 28
current 28
free 28
harmonic 28
legal 28
millions 28
necessary 28
past 28
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relationships 28
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slope 28
space 28
through 28
vic 28
winters 28
work 28
add 27
allows 27
apply 27
calls 27
half 27
highly 27
least 27
ljung 27
means 27
neural 27
notation 27
note 27
passengers 27
provide 27
provided 27
remainder 27
selecting 27
transformed 27
aa 26
account 26
adelaide 26
atc 26
averages 26
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default 26
distributed 26
get 26
identify 26
intercept 26
likelihood 26
principles 26
scales 26
size 26
cafe 25
capita 25
chosen 25
create 25
degrees 25
hence 25
judgment 25
length 25
minimising 25
network 25
nonlinear 25
people 25
probability 25
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springer 25
strong 25
symbol 25
thus 25
unit 25
various 25
without 25
almost 24
appear 24
assuming 24
classical 24
consequently 24
either 24
follows 24
full 24
hierarchy 24
increases 24
paths 24
problem 24
resulting 24
seats 24
significant 24
still 24
strength 24
weights 24
window 24
associated 23
bootstrapped 23
central 23
compared 23
deviation 23
fitting 23
gas 23
generating 23
innovation 23
instead 23
interested 23
likely 23
northern 23
properties 23
range 23
th 23
train 23
again 22
arma 22
augment 22
bias 22
changing 22
crps 22
difficult 22
done 22
facet 22
later 22
lb 22
makes 22
max 22
modelling 22
name 22
outliers 22
particular 22
piecewise 22
regions 22
relatively 22
short 22
similarly 22
tests 22
validation 22
atsi 21
company 21
concession 21
course 21
dcmp 21
drug 21
far 21
functions 21
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let 21
might 21
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object 21
output 21
students 21
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unemployment 21
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why 21
air 20
attributes 20
cl 20
croston 20
discuss 20
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final 20
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interest 20
layer 20
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normal 20
optimal 20
pa 20
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row 20
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systematic 20
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try 20
tsresiduals 20
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leisure 19
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management 19
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peak 19
report 19
special 19
status 19
stepwise 19
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vars 19
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easy 18
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forecaster 18
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mape 18
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<この項は書きかけです。順次追記します。>
This article is not completed. I will add some words in order.

参考資料

私のAdvent Calendar 2022 ーー はじめたきっかけ、1月のふりかえり、今後の展望
https://qiita.com/torifukukaiou/items/891db4e40a7f6194af56

自己参照

今、Calendar2021を書いている理由
https://qiita.com/kaizen_nagoya/items/dca73e903785bea2a106

関連資料

' @kazuo_reve 私が効果を確認した「小川メソッド」
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' @kazuo_reve 新人の方によく展開している有益な情報
https://qiita.com/kazuo_reve/items/d1a3f0ee48e24bba38f1

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https://qiita.com/kazuo_reve/items/46fddb094563bd9b2e1e

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プログラミング言語教育のXYZ。 仮説(52)
https://qiita.com/kaizen_nagoya/items/1950c5810fb5c0b07be4

【24卒向け】9ヶ月後に年収1000万円を目指す。二つの関門と三つの道。
https://qiita.com/kaizen_nagoya/items/fb5bff147193f726ad25

「【25卒向け】Qiita Career Meetup for STUDENT」予習の勧め
https://qiita.com/kaizen_nagoya/items/00eadb8a6e738cb6336f

大学入試不合格でも筆記試験のない大学に入って卒業できる。卒業しなくても博士になれる。
https://qiita.com/kaizen_nagoya/items/74adec99f396d64b5fd5

全世界の不登校の子供たち「博士論文」を書こう。世界子供博士論文遠隔実践中心 安全(99)
https://qiita.com/kaizen_nagoya/items/912d69032c012bcc84f2

小川メソッド 覚え(書きかけ)
https://qiita.com/kaizen_nagoya/items/3593d72eca551742df68

DoCAP(ドゥーキャップ)って何ですか?
https://qiita.com/kaizen_nagoya/items/47e0e6509ab792c43327

views 20,000越え自己記事一覧
https://qiita.com/kaizen_nagoya/items/58e8bd6450957cdecd81

Views1万越え、もうすぐ1万記事一覧 最近いいねをいただいた213記事
https://qiita.com/kaizen_nagoya/items/d2b805717a92459ce853

自己記事一覧

Qiitaで逆リンクを表示しなくなったような気がする。時々、スマフォで表示するとあらわっることがあり、完全に削除したのではなさそう。

4月以降、せっせとリンクリストを作り、統計を取って確率を説明しようとしている。
2025年2月末を目標にしている。

物理記事 上位100
https://qiita.com/kaizen_nagoya/items/66e90fe31fbe3facc6ff

量子(0) 計算機, 量子力学
https://qiita.com/kaizen_nagoya/items/1cd954cb0eed92879fd4

数学関連記事100
https://qiita.com/kaizen_nagoya/items/d8dadb49a6397e854c6d

統計(0)一覧
https://qiita.com/kaizen_nagoya/items/80d3b221807e53e88aba

図(0) state, sequence and timing. UML and お絵描き
https://qiita.com/kaizen_nagoya/items/60440a882146aeee9e8f

品質一覧
https://qiita.com/kaizen_nagoya/items/2b99b8e9db6d94b2e971

言語・文学記事 100
https://qiita.com/kaizen_nagoya/items/42d58d5ef7fb53c407d6

医工連携関連記事一覧
https://qiita.com/kaizen_nagoya/items/6ab51c12ba51bc260a82

自動車 記事 100
https://qiita.com/kaizen_nagoya/items/f7f0b9ab36569ad409c5

通信記事100
https://qiita.com/kaizen_nagoya/items/1d67de5e1cd207b05ef7

日本語(0)一欄
https://qiita.com/kaizen_nagoya/items/7498dcfa3a9ba7fd1e68

英語(0) 一覧
https://qiita.com/kaizen_nagoya/items/680e3f5cbf9430486c7d

転職(0)一覧
https://qiita.com/kaizen_nagoya/items/f77520d378d33451d6fe

仮説(0)一覧(目標100現在40)
https://qiita.com/kaizen_nagoya/items/f000506fe1837b3590df

音楽 一覧(0)
https://qiita.com/kaizen_nagoya/items/b6e5f42bbfe3bbe40f5d

@kazuo_reve 新人の方によく展開している有益な情報」確認一覧
https://qiita.com/kaizen_nagoya/items/b9380888d1e5a042646b

Qiita(0)Qiita関連記事一覧(自分)
https://qiita.com/kaizen_nagoya/items/58db5fbf036b28e9dfa6

鉄道(0)鉄道のシステム考察はてっちゃんがてつだってくれる
https://qiita.com/kaizen_nagoya/items/26bda595f341a27901a0

安全(0)安全工学シンポジウムに向けて: 21
https://qiita.com/kaizen_nagoya/items/c5d78f3def8195cb2409

一覧の一覧( The directory of directories of mine.) Qiita(100)
https://qiita.com/kaizen_nagoya/items/7eb0e006543886138f39

Ethernet 記事一覧 Ethernet(0)
https://qiita.com/kaizen_nagoya/items/88d35e99f74aefc98794

Wireshark 一覧 wireshark(0)、Ethernet(48)
https://qiita.com/kaizen_nagoya/items/fbed841f61875c4731d0

線網(Wi-Fi)空中線(antenna)(0) 記事一覧(118/300目標)
https://qiita.com/kaizen_nagoya/items/5e5464ac2b24bd4cd001

OSEK OS設計の基礎 OSEK(100)
https://qiita.com/kaizen_nagoya/items/7528a22a14242d2d58a3

Error一覧 error(0)
https://qiita.com/kaizen_nagoya/items/48b6cbc8d68eae2c42b8

++ Support(0) 
https://qiita.com/kaizen_nagoya/items/8720d26f762369a80514

Coding(0) Rules, C, Secure, MISRA and so on
https://qiita.com/kaizen_nagoya/items/400725644a8a0e90fbb0

coding (101) 一覧を作成し始めた。omake:最近のQiitaで表示しない5つの事象
https://qiita.com/kaizen_nagoya/items/20667f09f19598aedb68

プログラマによる、プログラマのための、統計(0)と確率のプログラミングとその後
https://qiita.com/kaizen_nagoya/items/6e9897eb641268766909

なぜdockerで機械学習するか 書籍・ソース一覧作成中 (目標100)
https://qiita.com/kaizen_nagoya/items/ddd12477544bf5ba85e2

言語処理100本ノックをdockerで。python覚えるのに最適。:10+12
https://qiita.com/kaizen_nagoya/items/7e7eb7c543e0c18438c4

プログラムちょい替え(0)一覧:4件
https://qiita.com/kaizen_nagoya/items/296d87ef4bfd516bc394

Python(0)記事をまとめたい。
https://qiita.com/kaizen_nagoya/items/088c57d70ab6904ebb53

官公庁・学校・公的団体(NPOを含む)システムの課題、官(0)
https://qiita.com/kaizen_nagoya/items/04ee6eaf7ec13d3af4c3

「はじめての」シリーズ  ベクタージャパン 
https://qiita.com/kaizen_nagoya/items/2e41634f6e21a3cf74eb

AUTOSAR(0)Qiita記事一覧, OSEK(75)
https://qiita.com/kaizen_nagoya/items/89c07961b59a8754c869

プログラマが知っていると良い「公序良俗」
https://qiita.com/kaizen_nagoya/items/9fe7c0dfac2fbd77a945

LaTeX(0) 一覧 
https://qiita.com/kaizen_nagoya/items/e3f7dafacab58c499792

自動制御、制御工学一覧(0)
https://qiita.com/kaizen_nagoya/items/7767a4e19a6ae1479e6b

Rust(0) 一覧 
https://qiita.com/kaizen_nagoya/items/5e8bb080ba6ca0281927

100以上いいねをいただいた記事16選
https://qiita.com/kaizen_nagoya/items/f8d958d9084ffbd15d2a

小川清最終講義、最終講義(再)計画, Ethernet(100) 英語(100) 安全(100)
https://qiita.com/kaizen_nagoya/items/e2df642e3951e35e6a53

<この記事は個人の過去の経験に基づく個人の感想です。現在所属する組織、業務とは関係がありません。>
This article is an individual impression based on my individual experience. It has nothing to do with the organization or business to which I currently belong.

文書履歴(document history)

ver. 0.01 初稿  20240808

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Thank you very much for reading to the last sentence.

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